I am all in on this.
Forty years of implementing Enterprise Applications and helping large firms with their Enterprise Architecture and Enterprise Information Models, has convinced me that the path we're on leads to more and more of the same, and that we need to make these changes.
I'm dedicated to helping any firm who wants to make these kinds of changes.
The time is right for all the Enterprise IT madness to come to a halt. The right technologies are coming together such that for perhaps the first time, we can now see a way out. Lets go!Link
It's time to move IT to a new paradigm where computers can understand the knowledge about things to make data, processes, and user experience smart.Link
My recent project definitely lead me to believe that the right approach to data management can unleash its potential and make it easier to use, easier to enrich.... and easier to deliver value with.Link
It is time for data to have the respect it deserves.Link
We are on a mission to use ontologies/semantics to define a new world to describe data.Link
In data we trust; and together, we answer the call of every person we serve by leaving no fact behind.Link
it just aligns with my experience and sense of making senseLink
Because I believe that data is the solution, not the problem. Integrated applications are the problem.Link
I have a dream! End users need flexibility and speed. A data centric culture will help us move away from our legacy systems that block improvements and slow innovationLink
This is the single most critical change that enterprise architects can advocate - it will dwarf the level of transformation seen from the creation of the Internet.Link
We live in an age in which data and the contents are getting every day more and more importance in our daily life. Think about a better accessibility of data, regardless of their source (brands, people, companies, institutions), could be a sign of a strong innovation: it will become more and more critical to make people participate in the choices of those who administer and govern, not to a direction of specific and direct democracy, but in order to let who governs decide better what choices to implement for the common good.Link
There is so much confusion in most IT departments, it is helpful to elucidate some basic principles that are easy to understand and possible to adopt given the political will to do so. Doing otherwise starts to act against the organization's interests.Link
Data is the intrinsic value of the Web and organizationsLink
After a lifetime in the industry I have seen the damage caused and the lost opportunities missed by not paying attention to meaning and semantics. Systematically addressing this is one of the big challenges for the IT industry but more importantly for organisations private and public everywhere.Link
This is exactly why I have used a terminology-based management and architecture approach for 34 years. Also because an "architecture" is information by which one manages.Link
Semantic interoperability, or the lack there of, is the single biggest factor limiting the broad applicability of scientific data for the benefit of society. A data-centric view point is central to tackling this problemLink
After 35 years of work on data management, it is exactly my opinion.Link
In my typical I waste a lot of time just to try to retrieve the right information to do my jobLink
Because data is the center of the universe, and as part of the universe I turn around that.Link
To improve the way in which data is managed, in hope of achieving more efficient and better handling of said data.Link
Professor Kerschberg from GMU mentioned about this data centric manifesto, and I never learned about the importance of security.Link
Data are the essence, we create apps trying to capture them into logical containers or to give them a tangible form...Link
I firmly believe this is the fundamental core of the problem and in the direction that needs to be taken.Link
Dave - lets get this circulated to those that matter. I would like to tie this to a DC site visit that I'm planning with Dennis. I can give this some visibility by getting some financial names to signLink
As a company we have been advocating data-centricity for a decade. It is not great to see more and more people see the light!Link
Key to the success of the next generation of IoT systems will be to derive value from the increased amounts of actionable data. A data-centric approach "liberates" the data in an IoT system. I therefore support this initiative.Link
My work for the past 11 years at PrismTech has been to work with our customer in data centric systems.Link
I have been a long time contributor and evangelist to the data centric community. I have seen its profound impact it has on many different verticals, ranging from healthcare to smart grids, to automotive and defense. At the moment, I am designing the first programming language to natively support data programming as a first class programming paradigm.Link
We are develoğing and usind data centric DDS middleware over 11 yearsLink
Because I've encountered the decades of inertia and want to be an instrument of change and evolution.Link
i think that DDs is the right approach to communicate through IoT.Link
Developing MilSoft DDS, which is a data-centric middleware based on OMG's Data Distribution Service Standard.Link
the manifesto is getting at the core problemLink
Its all about the data the metadata and the semantics. See my above entries for both example and proof point.Link
This is in-line with our platform and development architecture and philosiphyLink
In my life i try to fight with silosLink
I believe data IS a corporate asset and want to be part of education process.Link
I believe strongly in the value of connected and connectable data (much like the value of connected computers)Link
I can appreciate the principles of this manifesto.
In my professional career, have been responsible for various improvement initiatives in organizations, and Knowledge management is one of them. The basis for organizational knowledge is data.
And there is a lot to be done to make it simpler and more effective, particularly in large enterprises.
I would like to learn more about benefits of being data centric.Link
I find these truths to be not self-evident to the majority of information technology professionals.Link
It is required and makes senseLink
Been leading and doing the data-first method for many years, in spite of opposition from the application folks. Very difficult to do.Link
I believe this will enable better and less-expensive data integration and improve data quality. We are implementing this strategy.Link
I am signing to indicate agreement and provide the organization (with others) with a countable and communicable number of like-minded professionals to add "bandwagon" weight to the data-centric thesis for use on those that are susceptible to such.Link
I have found it proven time and time again that a data-centric approach to software development becomes particularly essential when it comes to automation. In a more abstract sense, we can call it being information-centric. In turn, genericizing the concept even further, we can call it being logic-centric. All this makes sense because code is simply the translation device of the logic or at least should be. These concepts were well understood years ago when I.T. used to be called data processing. COBOL is one of the most data-centric computer languages out there. It is not by accident that COBOL programs are still running although being decades old. Closely associated with the data-centric concept is the importance of set theory. Even in the field of pure mathematics research, it is being revisited. Also, Big Data has forced the issue of putting the focus back on what's really important. Data, data everywhere and not a drop of meaningful information to process teaches us that data without context is meaningless. If the data is to be centralized, the context needs to be known which can be self-described by the data itself, true. Where the data sits is simply the data container. But the context meant here is what provides the structure at the conceptual and logical level. In that sense then, physical structure is not needed. It all boils down to the ability of recognizing the data relationships (at the conceptual and logical levels) that are inherent in the information flow. Thus, modeling of these relationships at those levels is vital. So almost all application bugs occur because of things getting lost in translation in this information flow. But with a data-centric approach, an amazing thing happens in that code refactoring becomes automatic. So whatever code is initially written although appearing customized, is actually modular from the beginning because it is tapping into those abstract information layers that it is focused on. Therefore, the code refactoring comes from the architectural level of the information itself whi h is why it occurs automatically. To illustrate, it's like wool that keeps shrinking every time it's washed. And a side benefit is that it works directly against software entropy. The only disadvantage of this approach is that it is much harder to do and it takes much longer up front. But in the long run, it is much easier to maintain, is more stable, and saves more money than taking an application-centric or what we can call a code-centric approach to software development.Link
I believe that data is a valuable resource that should be shared and used to provide both efficiency and higher data quality - except where constrained by statute or policy.Link
It is high time that organizations of all sizes recognize that they've forgotten the basics.
IT is not about buying you a computer, connecting your phone to the network, or cleaning a virus off of your workstation. It's about enabling the user to get to the data they need in order to perform their function in the organization.
Back in "the day" when I started my career we weren't called IT, we were called Data Processing. The harsh reality is that the application isn't the asset and never has been. What good is the application that your organization just spent north of 300K to license without the data?
Time to get real, time to get back to basics. Time for a reboot!
Data always has been key in any enterprise. Today we see more harvesting of data, more use of (shared) data grids and although from a Sales perspective companies such as Oracle, SAP, Salesforce et al push their respective stacks, the fact remains that a lot of customers are trying to get back to basics with a view of their data. Its a healthy discussion to have.Link
By definition, every IT system, and even more so in the cognitive era, manipulates data so, yes, data is at the center of the universe and it's quite about time that we do a better job at it! I like the concept of a data layer which has more centralized responsibility on the data itself (security, visibility, integrity, consistency).Link
We must not re-learn the core principles of Data Science for every generation of tech (currently - big data, semantics, NoSQL, and big analytics).
The empirical nature of this manifesto is a driving force for successful enterprise data architectures.
... because I whole-heartedly agree with the manifesto's notion of the contemporary plight of application-centric IT management.Link
To help "be the change that one wants to see in the world"Link
Volume, variety and velocity of data keep rising by huge amounts. The only way to harness and manage the right outcomes is by focusing on data. Hence, Data Centric!Link
I have been a long time believer and evangelist of the data-centric paradigm. I hope that this manifesto will show more people the obvious advantages of this approach.Link
Stopping the technocratic approach to data management.Link
Data is at the core of our decisions and actions, even those we don't take or do!Link
I think this is just unavoidable: the sooner we all embrace this vision, the better for our industryLink
I actually thought this was obvious and self-evident, and only terrible developers with no vision got this kind of thing wrong in the first place.Link
I totally agree with the manifesto. It is all on data and data handling. Apllicaions come and go but the data wil stay and prove its value.Link
We've seen the software take over data centered thinking over many years. Though we always used data centered approach and proper data modeling first, and achieved fixed-price and on-time delivery, the trends differ dangerously.Link
I've developed data-centric for more than 15 years, it just seems very common sense to me. It's part of the reason for my employeer growing from 1 store to over 70 in 10 years.Link
I have experienced first-hand in my former company the ravages of application-centric architectures. Development teams have rejected SQL-based solutions that performed 10 to 100 times better with less code and fewer resources, all because of application-centric dogma.
Databases provide functional services, not just technical services - otherwise they're not worth the money.
Data centric applications area lot easier to make in a KISS style then where it is scattered all over the place. Having data central adds a lot to the simplicity, for design, for security and integrity. KISS should be mandatory. Bring the app to the data.Link
I am signing because it is a much needed stap back to a more data-centered past.Link
"Applications come and go, data (good or bad) stays" I read this somewhere and it's spot on.Link
We're selling and maintaining an increasingly popular ORM in the Java Ecosystem: jOOQ (http://www.jooq.org). jOOQ is all about (SQL-based) data-centricity. We're competing with the "Enterprisey" JPA/Hibernate domination, which we believe has caused lots and lots of damage to our industry by obstructing better database schema designs, by keeping developers from learning proper SQL, by making databases second-class citizens behind applications - a decision, which most product maintainers will regret within 5 years at most.Link
I agree. Data is central, applications are ephemeral. Most of the software being written today is process centric. This trades a short term productivity gain for a long term maintenance nightmareLink
This has been obvious since the late '80s and it still has little recognition or understanding.Link
I concur with the principles stated in this manifesto. I think it is about time we stop messing around. Just like you wouldn't mess around with other company assets, like people, buildings, inventory.
If possible I would like to add "There's only one owner of any data attribute within an organization.".
We should build tri-temporal data in 6NF at rest - sourced from hosing persistent event log!Link
Because I believe data (or rather information) is the key driver for innovation. By the way, we also need some statement about data privacy in the manifesto. I believe that individuals are owner of their personal data, and not organizations / institutionsLink
I believe deeply in the statementLink
Data is where the value of technology lies.Link
I believe in content-centric networks and applications.Link
Simply agree with reasoning. Influencing the view of organisations is required.Link
I believe: Bussines Logic should be developed as close to the data as possible. Over the years, applications comes and go, but the data lives forever.Link
couldn't agree more. Information is the asset, applications are important tools to allow people to execute processes is a more efficient way.Link
Representing USoft. The USoft Platform has been for 25 years a successful model-driven platform combining a 4GL generator with a data-centric Rules Engine.Link
Data is the main driver of the information age, not apps. Applications come and go, but data will remain.
From a business perspective, if you lose your data, you lose your business.
From a social perspective: Information wants to be free and need not be restrained by software.
I've spent 15 years with Silicon Valley companies that are entirely driven by coders who believe that data storage is an extension of an application's RAMLink
Seeing increased costs of developing and running IS systems in enterprise only results in more complicate and confusing business operations, I intuitively realized the clue of solving the messy is to take a new way that is centered around the enterprise data. Searching the words “data centric approach”, I found this The Data-Centric Manifesto which touches my heart. I fully agree its principles and support this movement.Link
The concept was introduced to me by John Willis at DevOps Enterprise Summit 2015. I am staggered by the possibilities.Link
Personal experience developing software for 20 years and recent work with high performance distributed architecture and Internet of Things requirements.Link
I have seen many projects fail or run out of budget because we focus on the linear development of functionality instead of the endless possibilities that are created when we focus on data we own and/or can access from other sources.Link
Systems are all about the data. Data centricity is thus the natural way to build systems. Databases provide data-centric storage for data at rest. Data-centric middleware provides similar benefit for data in motion. In both cases, data centricity enables interoperation, scale, and integration.Link
I have spent much of my career promoting data-centric systems.
I am the main author of the OMG Data-Distribution Service (DDS), and many other DDS-related standards: Real-Time Publish Subscribe wire protocol, DDS security, DDS XTypes. They goal of all of this DDS standards is to enable truly distributed real-time applications that can interact peer-to-peer in a data-centric manner.
I have long felt and advocated that data resources must be the central focus of IS/IT and the development of information systems in organizations. Get the underlying data "right" and you have some chance of achieving integration (one view), interoperability, sharability, flexibility, evolvability to satisfy new and changing information system requirements.
.. Thirty years ago I wrote about the "Copernican Revolution" in data processing. [Gordon Everest, "Database Management: Objectives, System Functions, and Administration" McGraw-Hill, 1986, pages 4-7, & 29, and that was an outgrowth of my doctoral dissertation at the University of Pennsylvania "Managing Corporate Data Resources," 1974]. There I suggested that rather than view the world in terms of data being inputs and outputs of programs (application program centric), we must view the world with data at the center and programs revolving around the data drawing from and adding to the organizational information resources. As Dave McComb correctly observes, the battle of the journey continues.
Want to evolve as a business? Be successful?
Then build your software on real business semantics.
Build on data and rules.
Application- and code-centric IT has been a recipe for business inflexibility, the opposite of agile. Building on a foundation of code is fast - a fast way of pouring glue all over yourself.
But starting from data is hard. Because the approach puts more demands on business leaders to really understand the why's and how's of their business!
Building the tools you need may be hard - but that's better than building the tools you don't need!
Start from business, express those requirements in data - and win!
This is just exactly the point I have been trying to make in my data architecture workLink
I was working in a data-driven manifesto and searching around found it doneLink
I use THE DATA-CENTRIC MANIFESTO as a mantra, a guide-line, a framework, an approach and a method, with which to add value as a consultant to large enterprises.Link
I am inline with the principles of Data-Centric. This is the foundation of open platform for financial software.Link
We have worked according to this paradigm since mid 80's (Scandinavia - mostly Sweden).Link
The data management products from eccenca are built to enable data centric infrastructures and organizations. Making it real is my my profession.Link
This is the way it should be in the future if we want to add more value faster and be more agile in adapting to changing needs!Link
Data is the center of Morningstar; we do have data tied into the app layers today which is a problem we are unwindingLink
I believe in the principles of a Data Centric approach to elevate the importance and utilization of an organization's data assets as the primary objective in the attainment and enablement of Business outcomes within an organization.Link
Data is fundamental to business, and life. Applications come and go, but data is always valuableLink
These principles embody what we have been promoting for years when we use other related principles such as model-driven development, ...Link
Happy to meet like minded people.Link
Data is how we try to encode knowledge for systematic re-use, and is the underlying purpose of information technology.Link
I am signing the manifesto because I have seen the dramatic inefficiencies and costs of the current approach.
I worked in an enterprise that had entangled itself into high complexity using the tactical, application-centric, or more accurately, a myopic, project-driven and application-centric approach and lost its ability to adjust to market and regulatory changes. This put the enterprise at high risk and, even if survivable, required a very costly and radical set of changes to become nimble again and stay competitive. I believe they succeeded but it was very costly across many dimensions.
The data-centric approach is one of the best ways to maintain business agility. I think the problem is one of education of enterprise leadership to understand that data/information/knowledge assets are a necessary (as in fundamental and required) and a strategic part of being a modern, competitive business.
The manifesto embodied many of the ideas my colleagues and I had recognized as we evaluated issues, problems, and lessons learned about failures and inefficiencies. The principles and other guidance is very similar to what we came up with and have seen in other thoughtful commentary in the industry. But I simply agree with it at an intuitive level based on my experience and observation over 30 years in enterprises. The waste and inefficiency of the current approach is enormous and I'd like to do my small part to make this better. Also, there are few people capable of understanding the full enterprise context. Dave McComb is one of those and has the stature, contacts, and authoritative presence to make it happen.
This seems a mundane item to most leaders, but if they knew its significance, they would ask why we are already not using a data-centric approach. I would perhaps even broaden the name to a knowledge-centric approach and leverage the modern knowledge management and representation technologies that have and are currently emerging. But the principles stand either way.
When you listen "integration" on almost every communication (talk, meeting, email, ...) it's time to Think!Link
Hard fight but right fight! No other way to handle microservice explosion. Go for data.Link
A critical framework to reference towards a information-centric enterprise.Link
This paradigm shift is as critical for organizations as the shift from geocentric to heliocentric was for mankind. And for realists, it's as obvious.Link
We have developed and promoted the Architecture 3.0 model which places data at is core. One of the main architecture layers of this architecture of the digital age is what we name as the shared data backbone. A layer which comprises the data lake, the data factory and the data lab and acts also as the enterprise data store and hub.Link
I believe [Linked] Data Centric approach is the way of the future. I am committing my company to assisting enterprises in their quest to Data-Centric transformation.Link
I believe in it's fundamental concept for changing how data is viewed and inter-acted with.Link
Existing approaches aren't working and it requires new thinking.Link
I agree - data is your sole, non-depletable, non-degrading, durable strategic asset - treating it better helps lots of other stufffLink
I have spent over thirty years chasing the meaning of data and facilitating consensus among stakeholders, defining the information required to describe their situation. I have been amazed at how few organizations are willing to invest in data-centric approaches, but see real magic when from those that do. This manifesto makes sense and should gain more traction.Link
Information and data have been the long ignored and mistreated glue that binds business initiatives to technology. Remove the technology and the data remains, or the business falls.
Increasingly regulation and legal controls focus on the data as a thing. But organisation try to drive compliance by looking at systems. That's like trying to navigate an icy road by tuning the suspension of your car.
Data is the life blood of an organization. When a org does not think of the data first, the things that an organization does make it very difficult to get value and further opportunities from that data later on.Link
Totally in line with my learnings, and it is something that data centric companies need to embrace to unlock their potential.Link
Because this is a truth of (Business) Life.Link
Because an OLTP application requires a datamodel and an OLAP information system needs semantics.Link
Having worked in a Fortune 50 enterprise, I've experienced first hand the critical failing of an incoherent and scattered information architecture strategy, if you can even call it a strategy. Time to reinvent. #FreeTheData!!Link
Data is an asset whose value increases the more it is shared yet we are very poor at sharing it.Link
I have felt since the mid nineties that application centric computing has held back progress and usability and is frankly an embarrassment.Link
I believe in data as an asset, and am willing to stand up for it!Link
Semantic Data Integration will set you free!Link
Data Management & its Governance is “The process of managing and improving data for the benefit of all stakeholders” It is a complete mistake to focus solely on the applications.
words are flowing out like endless rain into a paper cup..Link
I know folks who have already collapsed the stack (e.g., EnterpriseWeb) and think they have a distinct competitive advantage over those who don't.Link
I used a "entity-centric approach" with success in 3 innovation projects. The "entity-centric approach" is based on the data-centric principles and a distributed federation of systems to enable sharing data in a controlled and secure way. I belief this is not the future but already becoming the way to go for realising cooperative services without the monopoly/dictatorship of a central organisation or system.Link
A data-centric approach will finally allow IT to really support the way we think and work instead of forcing us to think in capabilities of an application.Link
In our business line, Smart data for smarter fire fighters, we see that data is not used to its full potential.
Data exchange is limited by the capabilities of application, not dictated by connections within the data. The live saving connections now have to be made by fire fighters under great stress, this is not the way forward!
We must start to adopt data centric approaches if we really want to achieve 'Smart data for smarter fire fighting'
Because we need a paradigmashift badlyLink
Modelling is all about classification. Each statement that you make about a certain domain can be categorized as a structural, a content or a processing constraint with respect to the data that you would like to use within an application. In doing this you can define the valid states and valid state transitions of an application that you would like to develop. This doesn’t assure that the data of an application is correct, but that the data is valid and that it complies to all the constraints that you have defined. Starting from a domain model (concepts with no relationships) and a life cycle approach (views) you can easily design consistent data models and robust applications using a data-centric step-by-step approach and find re-usable patterns along the way. I’m doing this for more than 20+ years now. The danger lies in the many mappings that you have to make along the development process to come to actual applications. Each mapping has the risk that you get ‘lost in translation’ and/or lose any of the earlier defined meaning. So, it is important to minimize the number of mappings that you have to make. In the end, the data should be the application.Link
We have been hearing support for "data centric organization" for years, but the needed momentum to make that happen is absent. The key foundational needs and beliefs are stated in the manifesto; well done!Link
Because I believe in self-describing data, for it allows the user to make decisions at the moment it matters.
Because the change, and the need for a broader perspective on design and implementation of data driven enterprises are inevitableLink
I am excited at the freedom promised by a data centric approach and want to see a more expansive world view beyond applications.Link
There is a growing need to truly see data as a core asset in every company, but the majority of the companys are not mature enough to have this necessary focus on data in itself. There is too much leaning on vendors and their focus on applications first and data as a silo as a result.Link
Bravo ! About time the data industry had an adult voice. I thought I was back in the 1980's ! The Big Data failures are testimony that the data industry is shipwrecked with this overarching idea. Looking forward to participating in this conversation, and confident these ideas will find the language, branding and the channels to go viral, and get a legitimate seat at the table with contemporary manifesto concepts like "App", "Cloud", "Mobile" and "Agile".Link
Bravo ! About time the data industry had an adult voice. I thought I was back in the 1980's ! The Big Data failures are testimony that the data industry is shipwrecked without this overarching idea. Looking forward to participating in this conversation, and confident these ideas will find the language, branding and the channels to go viral, and get a legitimate seat at the table with contemporary manifesto concepts like "App", "Cloud", "Mobile" and "Agile".Link
I and my colleagues have been developing platforms and systems in line with the ideas of the data-centric manifesto for a quarter of a century. From our experience we see cost/result benefits of one to two orders of magnitude, providing that there is a reasonable data management infrastructure in place. So, the revolution on a larger scale will take place, for pure economic reasons, eventually.
We have the method and the tools taking care of information integration for organizations. We work with information models tools and have also a tool which read these declared information models and write, do the programming automatically. We have been working with this since +25 years here in Sweden.Link
I believe in data centric revolution is necessaryLink
To make 'web-based' more than running in a web browser:
- No more webdrives that force to save locally (thereby killing possibility of AJAX with same credentials) please
- Use Linked Open Vocabularies to make meaning explicit from the start, and compatible where possible. This allows to query a combination of datasets (private and public mixed), instead of trying to find common fields to SQL JOIN much later in the process.
- Make sure there's a programmable equivalent for every manual user action, which is easy to find/deduce from the UI
Data should have one organization point to be utilized at its maximum capacity.Link
This is the only way to propel both agile analytics and agile application development in an environment with an accelerating pace of change.Link
The federal sector can do better to solve problems for citizens with better defined data. The data centric manifesto is just the beginning.Link
I have had many hats during my career in computer technology, including DBA and Data Quality Analyst. Data is important, and it's how it's built and the controls over that data that are significant in how a company operates.Link
It is time to recognize data is a first class citizen that outlives application environments and presentation layers.Link
Data must garner the same importance as any other corporate assetLink
I Sign Manifesto because i share this principles and work on make solution datacentricLink
Paraphrasing an old touareg proverb, data are written on stone, while applications are written on sand.Link
I completely agree with the manifesto!Link
It's my experience that data delivers its value when it is liberated.Link
I absolutely believe that data is the center of what is important and why we build systems in the first place. So it needs to be treated as a first class citizen.Link
Very welcome initiative. Back to basics. Simplify to succeed.Link
Because I believe this is the right step to a full-blown Semantic Web and a digital realm where data interoperability will foster novel ways of communication and exchange.Link
1. Interact, share experiences and learnings with community members.
2. Collaborate on community projects/ white papers, discussions and/ or research.
In short, for the simple fact that applications come and go but data remains.Link
Back in the 80's we saw the transition from network databases to relational databases. A key concept in the Relational Model was a data centric point of view. Database design became a large part of the development life cycle.
Alas, in the years since, other priorities have obviated the value of the data and the structure and the process.
Amen and Hallelujiah we have visionaries returning to the fore and bringing this manifesto to light!
Proper use of data requires that it's semantic meaning be known and maintained centrally. When data has value, then we can expect it to be used by multiple applications. The applications change over time.Link
I have always been data centric and am just realizing that this is not the norm. I have always thought it obvious that the goal is to "enter the data once and use many times".Link
I have only worked in Healthcare for 10 years, during that time it has struck me how ineffeicent the use of patient data is in the process of providing healthcare. I strongly believe that decoupling the data from the EMRs would greatly reduce the cost of the EMRs, put the right people in charge of the patient data, the patients, and spur a new round of innovation that would aid in making the US the number one country for healthcare.Link
Strongly believe that data needs to be managed as a critical corporate asset and the foundation of our decision-making.Link
strong support of the need and principles that the model needs to changeLink
Too often, data takes a backseat to systems. Meantime, I have worked with data that is over 100 years old, while the systems used to manage and master that data have changed multiple times within the last decade alone. Until data is treated as an asset, businesses will not be able to reap its value and arguably unknowingly increase their costs.Link
I'm involved with so man projects that across enterprise and consumer facing applications. It's critical for all organizations to see that their data is theirs and not held hostage in different applications or trapped in archaic systems that are no longer supported. This is an important mindset and we need to commit to share the tools and processes experiences to make this is a reality.Link
I understand the importance of preserving the integrity of data and believe by making it the centerpiece of systems going forward it will create a natural evolution where the micro services using the data will help validate and protect it.Link
We see companies struggle with data they cannot access, data they cannot integrate or re-use for new purposes. We see the business side losing control over their data as soon as they hand it over to the IT and see them turning back to Excel-sheets and producing redundant data.
We feel that creating, structuring and managing data with only one application in mind is a root cause to all this and we feel that enterprise data deserve a fundamentally new approach – a data centric approach.
I agree that alot of the organisational challenges at its core is poor quality data. And creating awareness for this will become more critical in the Digital Economy Age.Link
I'm a believer that data is a key asset of any organization. I would like to explore the many ways of leveraging data to measure the impact of my initiatives at work as well as that of my organization.Link
Given the game-changing insights available from our exponentially expanding data, it us up to us to uncover and communicate the value in a way that cannot be ignored.
To date, there have been many generalities about the benefits of data, but precious few concrete examples to galvanize the resources which could make a major advance in our vertical.
Because of having suffered from too many apps shut downs which leave either unusable data, or no data remaining at all!Link
I've been working for different IT consulting companies, delivering services for big enterprises (private and public). Some of the projects were a success but many other failed or never came into production. Why? Alway thinking on application centricity force us to reinvent, build walls around data, and focus on new components instead of new benefits for our customers. The last 3 years, focused on data-driven transformation, we delivered all projects to success. Imagine what could be done with data-centricity.Link
Aligns with what I have seen in the space and the solutions most logical.Link
I am seeing enterprises struggles in Data Integration and governance. I want to support this movement to change the industries focus from Application centric to Data Centric.Link
It's about time to move from app centricity to data centricity.
Watch SAP's announcements in fall 2017!
I work supporting the Chief Data Officer department of a big company and thoroughly agree with this Manifiesto.
I simply believe Data is knowledge and knowledge is power. Data Quality is the ground material for your success and a proper Data Management the way to attain it.
To be informed about the discussions regarding the steps that can be taken for the paradigm shift.Link
Instead of wishing for Data Centric Design, I'm creating it. Help me bring it to the world.
eNcrypted Userdata Transit & Storage (NUTS) was designed from the ground up to embody my vision of Data Centric Design. I've begun explaining it in my blog http://blognuts.org
NUTS: Data Grows Up
To give data the respect it deservesLink
Because I perform data management and application development work and I support and embrace the concepts as expressed in this manifesto.Link
It has been obvious to me for many years that applications are things that have emerged to bridge human beings and information. The bridge has become an enduring construct that may perhaps be re-positioned as what it is: an interim step in the architecture of human-information interaction.Link
Data is the most important commodity and needs our full attention and fair and ethical treatment.Link
I like to develop a data-centric framework for Location data.Link
I came to the same opinion as a result of my own experienceLink
Applications come and go, the data stays. Let's pay the attention to its meaning.Link
Because it aligns with my own observations and conclusions drawn over the last 15 yearsLink
Kudos! I have been teaching and practicing data-centric architecture for over a decade now, and just came across this site. My focus has been on distributed real-time systems, specifically on robotics and autonomy, including autonomous driving and unmanned vehicles.
I am also the lead author of the Industrial Internet Connectivity Framework [IICF](http://www.iiconsortium.org/IICF.htm) which defines a connectivity stack for Industrial Internet of Things (IoT). The stack includes a framework layer for structured data exchange to provide syntactic data interoperability and a data layer that can exist independently of the applications.
I have also architected and implemented key aspects of Connext DDS, the leading implementation of the data distribution service [DDS](http://portals.omg.org/dds/) open-standard. DDS naturally promotes a data-centric style of architecture for Industrial IoT.
We have been living the dream described in this here manifesto. I am a believer.Link
Data has become critical to all aspects of human life over the course of the past 30 years; it's changed how we're educated and entertained, and it informs the way we experience people, business, and the wider world around us. Powered by this wealth of data and the insight it provides, enterprises around the globe will be embracing new and unique business opportunities.Let's change the world with data!
i work for the company that makes data centric and i think data is the root couse of every big company these days.Link
Because i want to simplify and automate the data-integration process.Link
After years integrating data in organizations is the moment to move to Data-Centric architectures that allows the new digital channels to serve one vision of the data.Link
Because data is growth will soon exceed our ability to transport it.Link
Information is the key. Cooperation is the lock thats fits or who will find the look.
We need to change. Belive in the power of information and the need of change.
I believe Data Centricity is a social and business culture that must be enabled with Data Intelligence i.e. data intelligent people, processes and tools.Link
I am responsible for data too, important to learn more and be up to date with latest methodology and best practices.Link
I work in Data Management Department in a huge Oil and Gas company. I'm sure that it is really vital to survive in a high regulated sector.Link
I have seen lot of organizations focusing on simplified Information architecture. However most of the organizations are putting technology/ tool ahead of data strategy. In my mind, data has be first then tool/ technology. I heard about this manifesto which is helping people understand importance of data, so want to contribute my few cents.Link
Because i think that data rules our decisions, and that data is more stable than process.Link
Because it is the only way out of the quagmire that has become the norm today where few large-scale IT projects ever deliver the intended value. Because "data" has value outside of the authoring application and the more we recognize the need for an enterprise ontology is the data we stop building so many monolithic systems and instead use Agile methods to deploy value on a continuous basis.Link
After dealing with the data side of most applications for 37 years, I'm convinced the one common theme between them all is, DATA. Too often, applications are used to solve the symptoms of what is truly just a data problem. Solve the data problem and all applications benefit which isn't the case vice versa.Link
Having worked for database companies for a long time I spent my time focused why database was better than other ones. When I started working with Kafka I realized the notion of the uber database should be dead. Make data the king and use the right tool for the right problem. I'm passionate about making our government better and more efficient and being data centric is a huge way to achieve that.Link
I'm on boardLink
Because I want to live to see the DLO - Data Liberation Organization! Set the data free.Link
After implementing many systems and business transformations in my career, the availability of, and access to data has always been the key to the success of these advancements.Link
This is a good thing to do. Application Architecture needs a change. It's time to give the data the importance it has.
Database development is crucial to achieve good results in this field of computer science.
Completely agree with this manifesto. Have seen the fragmentation of information architecture cause by an application centric world view.Link
I strongly subscribe to the idea that IT organizations should shift from application centric to more data/information centric. Most information we use lasts far longer than the systems to collect and use it.Link
As editor of the Data Base Newsletter from 1977 to 1998, data centricity was always our core belief. Nothing has changed. In the early days, it was challenged by structured analysis. Over the years it has been challenged by one process-centric methodology after another. But they always just dig the hole deeper for enterprises.
Our industry isn’t much interested in history, but here are some noteworthy facts. The idea of data centricity (then called data independence) goes back to the 1960s and probably the first true database management system (DBMS) called Integrated Data Store (IDS). IDS was designed by Charles Bachman, who received the Turing Award from the ACM in 1973. (He was a fine gentleman to boot.) Yes, network (CODASYL) databases were supplanted by relational in starting in the later 1980s (as machines became more powerful), but the idea of independent, shared (“integrated”) data stores as fundamental architecture had been proven in practice.
I have always held steadfast in this belief and will continue to do so. Today I believe “integrated” stores should apply not just to data, but to business rules and knowledge (semantics) as well. I applaud this Manifesto’s call to return to basics!
I believe in it.Link
I believe in this manifesto from my heart and have invested my own money in a startup which is aligned to this philosophy that data is the oxygen to an application.
I have always been intrigued by organization's fascination for applications. Millions of dollars and inordinate energy is spent in selection and implementation of applications. But stats clearly show that majority of them are not successful and absence of meaningful data is cited as the main reason. What confounds me the most is that the same organizations repeat the cycle by going after a new application!
Recently I came across a CRM implementation which cost $4M to implement and it barely had 200 contact records after two years! Why the system is not used is still a mystery to the management!! These cases are rampant and it is a madness there which needs to be addressed.
I love the thinking of this manifesto and fully support it.
Data as an asset has always been very important for me. Quality and management are essential.Link
Finally, a manifesto I can get behind !Link
Proposed same perspective 1999. Several corporations, emphasis upon product deliverable DATE, have forgone time to address intangible value of said entity to compete through and beyond the 21st century.Link
Because I agree with you about the Revolution which data management will carry on sooner or later. The way and bias through which firms and communities manage their resources are primitive. I also believe that the money as we know it will be suppressed by the relevance of data in problem resolving.Link
Describes the issues I've encountered repeatedly over my career.Link
I'm an ardent believer that data's value is only realized when Business leaders embrace and leverage it for Competitive Advantage (and not through the responsibility to IT and rely on them for it).Link
I think all the arguments against data centric,and in favor of domain centric are a little bit confuse and tendencious.
1-Costumers wants faster and cheaper systems,most of the time they don care about what Database are you going to use.And specialization is what takes to fast systems,not that is meant to run in several databases will be as fast and light as something specialzied,who earns money with the actual status quo?Microsoft,Amazon and everyione that sells bandwith,memory ,and cpu consuptiom.
2-Domain centric applicattions are easier to mantain,who said? Everytiem I see that I think people are using wordstar 1,I never ahs problems understanding somebodies elses code,specially those that use databases resources(stored procedures ans triggers heavilly).
3-(The most stupid one) A programmer hour costs more than a machine hour,if youŕe developing an applciation for internal use maybe,if you think that your applciattion is going to be uses by thousands of companies don.
4-You can unit test your business rules.In fact people today are not testing the applciattion as a whole,taking user interaction,and persistance,if youŕe not tunning automatized tools youŕe not testing your applicattion seriously.
The data-centric approach is the more natural way around for programming and intelligence. Being this so natural it will happen soon. I have been using it nearly since 14 years in my professional software design. I am still pushing.Link
Data-centric principles are at the core of my views on adaptive domain engineering.Link
I have 20+ years in IT and 10+ years using Hadoop, working as a consultant in the space, book author, trainer, and mentor. I have seen this "mess" first hand, and all companies I worked with, large or small, knows it too (though may be reluctant to change). Without a modern Information Architecture that includes governance, it is impossible to tame the "polyglot persistency" monster we all created.Link
I believe this manifesto outlines the mindset shift that Boeing needs to make to remain competitive.Link
What you call data, I call content. It's what's inside the box, but not the box itself. I'm a big believer in single-source publishing and content management.Link
We fully share your ideas and principles. We have practiced these methods for long. I admire your ability to express your view to the point and crystal clear.Link
Because it’s the right thing to do.Link
I am passionate about the focus on data above all. Just as the application-centric world has benefitted from naming the problem of 'technical debt', we need to name the problem of 'data debt', which has much wider and longer-lasting impact. Then we need to start paying down our data debt and making architectural decisions that let us avoid incurring further debt.Link
I am working on a similar initiative I am referring to as a Modular Data System. MDS is a data centric approach that aligns to the Data-Centric Manifesto.Link
Because I believe it to be true.Link
Have wide experience of both application development and data management and completely agree that application-centric development (typically) is starting from the wrong place. Especially in a poorly executed agile development world it creates a growing data mess.Link
We have built a data-centric solution for our clients that bring data together and uses tabular models and Power BI. This is what I promote to our clients every dayLink
The evolution of "data" and "data systems" is tied to the history of ideas and linked to reductionist models of science and knowing. What is emerging now is the understanding of the primacy of "linkages" and that all data is linked.....we need a framework for data analytics that places the data are the core----not the software. A data-centric revolution is the key to understanding our contemporary world.....Link
Time to drain the App Swamp that is drowning business and let IT dollars deliver real ROI...Link
The principles of a data-centric approach would seem obvious, but the proliferation of application-centric implementations continues. Recognizing the difference is critical to positive change, and the benefits organizations want and need.Link
Data (Structured, Semi-structured, Unstructured data) are lifeline and backbone of any organization. Data should be independent from applications. Application dependent silo data will cause unnecessary redundancy and eventually it become inconsistency. Although we use quality proven applications and software, processing poor quality of data likes garbage-in will cause garbage-out.Link
because the struggle is real! I'm fighting the fight in my workplace, trying to convince others this is the right approach. Hopefully I find others to get ideas from and bounce ideas off of.Link
We have to make the shift from Application-Centricity to Data-Centricity to ensure long term value and knowledge. At the same time we must free us from the short-term focus and grip the Application vendors have on us all.Link
Because as a data & business/functional analyst for master data & other, I see to much issues popping up with getting data, using it & understanding it.Link
I completely agree with the approach and Data -Centric is a way to goLink
Data centricity is FUNDAMENTAL and KEY to high volume commercial OLTP applications. Without it, software development will grind to a standstill and technical debt in code centric approaches will eat us alive.Link
I've been in a project for two weeks in which kind of came up with many of the findings here. Seeing that this architecture is documented and well supported makes me very exited to a future with better software applications.Link
95% of the projects I see have huge data structuring problems where no priority is given to fix or even to care about clean structure. I'm not a prophet. I am clean data structure adept.Link
To help enterprises become data-drivenLink
As a long-time CEO leading companies through innovation my major source of frustration has been the expense and inflexibility of traditional process-centric enterprise architectures.
We are now building out our LimberGraph platform to enable companies to lower their marginal costs by using a single semantic knowledge store. Knowledge is the only truly persistent asset - applications are increasingly interchangeable commodities.
It sort of is in my business' name ;)Link
The inertia is nearly impossible to overcome, so I am interested in other’s thoughts about it. Mostly, it gets frustrating when a client asks for an evaluation of their unstructured data; yet, remains closed to any sort of resolution to the lack of structure.Link
After being formally introduced to ontologies to manage data (through a week of classes with Dave and Semantic Arts) over 10 years ago, I've watched the same cycle of churn in software development happen dozens of different ways and could always see a way that true data-centricity could have fixed (or entirely avoided) the problems. It's far past time for a change in the "traditional" technology mindset.Link
It fits with what I'm seeing and with where a software we've developed is working wonders!Link
Years of experience in the industry and a recognition that the apparent high cost of master data, data warehouses, data quality is really just a symptom of the problems caused by an Application centric view.Link
Caring about (clinical trial) data and metadataLink
Every process in organisations store or create data, yet so much time is wasted on trying to understand data. Having a data-centred approach in solution architecture is way overdue and would massively benefit mankind.Link
I believe very strongly in the data-centric revolution and will be looking to champion this in my workplace. I'd be keen to leverage any materials and information that this movement may create/publish as well.Link
I am proud to be a part of the data-centric revolution.Link
I’ve believed that this is true for over 30 years.Link
Willing to explore more options for software architectureLink
I totally support this approach. Data centric architecture is the only one allowing the entreprises - and more precisely the most complex ones - to be business agile, to preserve its IT assets, to reduce IT development and maintenance costs and to respect deadlines. In our present complex business and human environment and with new technical capabilities allowing the management of quasi infinite amounts of data / information an application based architecture is a total aberration.Link
Applications have their lifetime, data is forever!Link
Become a stronger part of a community that aligns to evolving and evident technical and political career challenges around data strategy, management and architecture.Link
Support data being a critical asset requiring proper managementLink
I read all 14 of the posts on TDAN, and agree with just
about all the points, which are "spot on". I have seen
the deterioration of large application portfolios, in
many large organisations over many years, and believe
the the Data-Centric approach is the way to get out of
this "application specific" tangle of Legacy apps.
I had the privilege of working for Charlie Bachman at
Bachman Information Systems, 1988 to 1992; Charlie
was a visionary but very pragmatic and he would
certainly have agreed with this approach. Thank
you very much, Peter Campbell (originally from Boston,
but since 1991 in Belgium).
For years I am struggling inside companies to convey the data centricity benefits. I must admit the outcomes are far from my expectations. Stakeholders understand processes, activities, functions, projects & programs, governance, applications, ... But they pay very few attention to information and data.Link
I fully agree on what's stated in the manifesto and as part of the "Data Ecosystem" I believe that there is room for improvement, and it must be driven by the ppl and not by the tech.Link
Because i strongly beleive in data. It's THE key asset of the modern realm; Enterprises must master it from its borning to its death;Link
I strongly believe that the time has come to recognize data as the basis of reality - especially so in our digital world. Everything else is opportunistic use of this pervasive medium, taking from and contributing back to it. I am delighted to come across this datacentric manifesto, and look forward to the journey with like-minded individualsLink
Have always had a data-centric viewLink
Bcoz I firmly believe that data lives and needs to live outside applications, usecases and databasesLink
I have to admit that usually we underestimate an importance of conceptual view on the enterprise data, which brings common terminology for communications and insights delivery.Link
To drive a re-think of data from a reactive to proactive design approach that is agnostic and independent of technology.Link
To help drive a re-think of data design constructs from a reactive and historical evaluation approach to a proactive simulation model based approach that leverages system thinking and complexity theory.Link
I fully support this manifeste as CDO and agree with the statement that data is at the core of many digital organizations.Link
Because data is the DNA of an organisation that ket it evolve.Link
I have been consulting on data governance for years and have seen first-hand the issues caused by organizations not understanding that their data should be leveraged as the center of the universe not the applicaitons.Link
Because data, while not an end in itself, is an important beginning to better understand what we know by using social math and analysis to bring back the power of évidence to drive décision making.Link
Because I believe dare are key asset of my organizationLink
Data is changing and it will change our future, but to do it we need to access it and use it. A data centric approach instead of an application centric one should change our mindset on Information Architecture but can also enable a new approach in organizations moving from isolated kingdoms managing applications to collaboration and shared responsabilities to manage our data treasure.Link
With over 30 years of designing and implementing ERP, Financial and other Client/Server systems, plus being involved with several large consulting organisations, I have come to realise that the application driven environment is out of control and extremely expensive to maintain. The data-centric approach using a simple schema and established common semantic standards for data is truly revolutionary. I am pleased to part of a group that is leading this revolution, and would happy to assist in any way possible.Link
With the latest application trends (Microservices, Serverless), systems and data will be more and more fragmented.Link
I believe in the data-centric manifesto a 100% and stand behind it everyday. In my role , I am trying to do my best to get the Leadership into this mindset.Link
I believe in the importance of managing data effectively to manage and grow a business but also to ensure we provide customers with better products and services whilst ensuring we use their data ethically.Link
I truly believe in the power and increasing relevance of data.. or increasing knowledge by humanity of the impact of data in our lives. So I am convinced that it is time to put data at the center of our activities.Link
The industry must adopt a data-centric standard in the right for users to own their data; the only sustainable approach to avoid data siloization, fragmentation, redundancy, and monopolistic practices.
Users should have full ability to transfer their entire music collection to any music streaming service.
I believe in the manifesto. I have done so for decades.Link
I believe in the problem and have ambition to correct it in my organization.Link
I subscribe to the statement that Data should be the constant as well as the driver of the contemporary organisation for it to be cost efficient and future proof!Link
I believe we need to make a shift to data-centric philosophies.Link
For years I have known that it was data (water) and not the pipes (technology) that enables data that is star of the show. Having factual, accurate, complete, timely and supported data has always been my mantra since in diapers (ok so may that's a slight exaggeration). I am passionate about Data, I just get it, maybe not always all the new fancy jargon….but when the bells and whistles are stripped away…caring for data is just fundamentally basic…like caring for a child. It is not education that makes someone a better parent but rather the love for one’s child. I just simply love working with data and data about data in any shape form or fashion.Link
Data Vault 2.0 is an EDW solution that is totally in line with this... uses HUBS, LINKS and SATELLITES the links give us unlimited relationships to ontology of the business and business process through the use of Semantics!! From multiple systems!Link
data valorisation should be the enterprise transformation catalysis.Link
A paradigm shift is imminent. The future of software is generic and model-driven. RDF Knowledge Graph and semantic technologies are the key enablers.Link
I am a believer of this manifestoLink
I believe that many applications where build around data but not with the right mindset.Link
Yes, I like this approach, but how to make it happen?Link
Data is core to any value generated from analytics / models / insights to support strategic business objectivesLink
The manifesto provides vision, guidance, and hope, to established enterprises who simply have not figured out how to get out of current habits, nor how to better make use of the data they have.
For all those with a true desire and willingness to step beyond the comfort zone, this manifesto is worth every support it can get.
Data is the lifeblood of an enterpriseLink
To support the manifesto. Data is at the core of all things.Link
As CTO and founder of a startup of Big Data and Artificial Intelligence, we understand that the natural advancement of the digital age has provoked the need for data-centric solutions would be like thinking of oil business chain, without the oil there would not be several businesses in the world, we understand this movement and create a solution called OpenGalaxy with this vision.Link
Data driven is becoming a based for other disciplines like Development, IT Operation Security, etc. keep aligned to Business.
If you don't use data to have better decisions in any level of company, you won't keep relevant to your customers.
Systems change over time, but the data remains the same.
Organizations are drowning in information, but for them survive it, they'll have to follow a data-centric approach.
Because data is fundamental to the business and should be treated with respect.Link
To understand and implement a right and productive environment in companies data drivenLink
Data makes IT and business easier and more effective and companies need to learn what it truly means to be data-driven.Link
It's the core component/resource to do and create what we need in this digital age for facilitating communication and transcations
We do however keep thinking in fysical products to digital people; as where making fysical products will alway's exist and it's logistics can and will be facilitated through data.
Looking from the data perspective will also redetermine the digital I of our fysical SELF and that needs a paradigm shift!
Because I think we need to be ready for the future and if we want to adjust to changing environments we need to put data in the center of our organisations. We need applications to adjust to the wishes of the dataowner instead of us adjusting to the wishes of the application providers.Link
Because I think we need to be ready for the future and if we want to adjust to changing environments we need to put data in the center of our organisations. We need applications to adjust to the wishes of the dataowner instead of us adjusting to the wishes of the application providers.Link
Today, companies produce a gigantic mass of data, but having the information and not knowing how to use it does not help at all.That is my purpose, to help turn information into knowledge.Link
I have worked in Information Management and Information Technology for nearly 30 years. I wish we adopted the data-centric approach from the start.Link
I believe that information technology as a whole is becoming more mature, complex, and varied in its substance and use as economies shift towards a more knowledge, or information, based economy. This will place technology, and information, at the center of a lot of economic activity.
On top of this, I believe that machine learning and artificial intelligence have the implicit assumption, and frankly require, that data is stored in a way that is useful and meaningful. This is almost never the case.
Given these things, it is important to place data near the center of discussion so that we can focus on how to leverage the data we have, refining that into useful knowledge, and then solving real-world problems for people using this knowledge through products & services.
In short, I am a fan and it sounds reasonable to me.
I totally agree with manifesto's principals.Link
I've worked in data and metadata management for over 30 years, and there is less awareness of the importance of getting the data right today than there was 30 years ago.Link
To bring some sense to the way applications are developed.Link
Data needs a strong Union to fight for her rightsLink
Data and information are central to organizations, but somehow people do not think like this.Link
I strongly believe data is and should be the source, the 'go-to'. Applications and programs are merely here to help not to rule!Link
We are working to provide a data governance framework adapted to Third Generation Platforms, as we consider data is a strategic asset and must be governed. As Third Platforms are data-centric, the data-centric model is one of the foundation of our research.Link
Throughout different generations of application and of business type the information used should be able to transform effortlessly between them. By focusing on the information elements through a data-centric approach we can ensure that they can be self-describing and able to be re-purposed with ease.Link
Its a paradigm I have supported for years by enabling customers to build scalable distributed real time data centric systems.Link
Data need to be made interoperable to enable knowledge sharing and growth in all sectors.Link
I recognize how the application centric mindset is creating havoc to the data landscape, and agree that these data centric principles will have great effect on data management.Link
After 21 years in the Information Technology and Information Science fields, I have concluded the best path forward is by walking in the Data-Centric revolution principles.Link
Most of the value we unlock for companies, governments and people came from enhancing and organising data.Link
Because I am alive,and happen to care. DAVID Lee Heatherly 4/13/1974 (last of the hippies)Link
I am a senior Chief Data Officer and believe in this manifesto. Let's change the way the world relates to data. These key principles are crucial to effect that change. I am also a signator of the Data Manifesto and the Data Leader Manifesto.Link
We are collapsing the data stack by abstracting away layers of complex technology thereby freeing both data & developers from the confines of monolithic applications.Link
I agree with the principles and see these problems with the application centric view every day
Change is constant in business and technology, but the one thing that doesn't go away is data, it evolves and extends but lives longer than apps, processes, org structures, roles and even people.Link
Over 30 years ago I invented Unibase (https://unibase.zenucom.com) a data centric language and database. The world is catching up and I want to support it.Link
Understanding data are more important than applications over time.Link
Because data integration is behind any successful attempt to make an impact with data.Link
I am responsible for the Enterprise Data Hub as well as Data Governance and Mastership at Swissport. There is a real sense of excitement in the IT teams I work with about creating a data centric future within our company however it takes great effort and time to change the way a global company thinks. This is a worthwhile and exciting challenge!Link
Data, not applications, should be the model of reality.Link
I have seen the basic tenets and trends towards the needs and benefits for a data centric architecture repeated over and over again in my work with CRM, customer analytics, loyalty, digital marketing, e-commerce and related solutions. Adopting a data centric architecture and making data a first class, primary organizing principle for solution architecture needs to be a vital imperative for all organizations, not just IT. Big data was an attempt to address this need but it only partially accomplished a true data centric architecture. I believe The shift to a data centric approach will be a major generational change in solution architectures and truly transformative, similar to the major impact and rethinking of approaches to IT infrastructure, platforms, and service architectures that the shift to Cloud/SaaS/Paas/DevOps rendered. It should be very interesting to see how this all plays out.Link
I have been promoting this concept for at least 40 years, now. It is nice to see it finally getting some press.Link
As an engineer and tech executive, I've seen how much time developers waste on boilerplate, plumbing code, and business-logic validation that should be handled much more elegantly, and directly at the data layer.Link
Software is a fashion industry. It comes and goes. Data has always been the main game. Emotion and high fashion seduce and distract from strategic asset management.
Hint: data is the asset, not the applications; they’re just fancy pens.
Software is a fashion industry. It comes and goes. Data has always been the main game. Emotion and high fashion seduce and distract from strategic asset management.
Hint: data is the asset, not the applications; they’re just fancy pens.
This is a story I have told over and over again. I hope to join others in helping others to understand.Link
For those who understood data is a strategic asset, being Data-Centric is quite obvious, thus it has always been the best way of efficiently driving IT transformation.
In a way, and whatever our own level of maturity, I think we have to share these basic principles, educate, and finally overthrow the ruling paradigm.
Looking at the comments, I feel confident we are all committed to moving the Data-Centric revolution to the next step.
I have been trying to help large health care organizations transform themselves into data-centric enterprises for the last 20+ years and continue to be met with blank stares and worse... outright denial of the problems.Link
W. Edwards Deming: "In God we trust, all others must bring data."Link
Well, data centric implies data assets drive the valuation of a company and each department has a responsibility to contribute to transparency of the asset definition and use.Link
1) Because it's there.
2) data is the center of the universe
I am convinced that data should be the central element to any design, and applications should adapt and be chosen based how well they adapt to our data.Link
Contribute experience with the community. Also learn from others manifesto.Link
I have worked on a variety of Data projects and usage of new application data and its ability to integrate into Enterprise assets are never considered as part of project as well as planning/budget. Other common issues organisations face is they treat Applications/Legacy systems as their source of truth instead of investing in a common layer which can be enriched with all data. Hope Data gets its due respect soon.Link
Because I believe in data-centric approach and hopefully we can bring about a change and make our lives a tiny bit betterLink
The dutch directorate of infrastructure and transport is slowly starting to transform towards a data-driven assetmanagement organization. This manifesto could help speeding things up.Link
in de keten inwinning, beheer, analyse, visualisatie en ontsluiting kan er (ook intern) nog veel verbeteren.Link
Data is the fundament on which the dikw-pyramid is built. Keeping focus on applications will eventually render data from the promised gold into the new legacy-layer slowing down and in the end disabling innovation and excellence....Link
In IT, the most important portion is InformationLink
Based on the empirical evidence, I am thoroughly convinced that data and all its relationships should be the foundation of all systems. Applications can come and go, but data remains with the organization. I would like to be part of the effort to spread these ideas.Link
I feel we place too much emphasis on applications or dot updates of particular proprietary software installations. We need to realise that everything is predicated on data. What I don’t know is how being data-centric looks and I hope by signing up to this I will learn how.Link
I hate waste. With me thousands of citizens pay too much taxes because directors and managers give orders to build IT-systems where information-Systems are necessary.Link
It is not data that created the mess. Business opportunities spotting lacks of knowledge do create strangleholds on organizations.Link
Many of our clients have tied themselves in the application knot. Having an external reference for an information perspective provides political cover and technical validation.Link
Many of our clients have tied themselves in the application knot. Having an external reference for an information perspective provides political cover and technical validation.Link
Aligned with principles supported by Open Services for Lifecycle Collaboration (OSLC).Link
This problem has long been apparent to me. So I am delighted to see a community of practice (CoP) coalescing to address it. The CoP's about statement is now available in StratML Part 2, Performance Plan/Report, format at http://stratml.us/drybridge/index.htm#DCMO I look forward to helping make this a "Truly Connected" community. http://connectedcommunity.net/ Thinking globally and acting locally, I will also be promoting the CoP's principles here on Hilton Head Island, in the context of the update to the town's comprehensive plan.Link
I agree with the principles, no organization can become successful without a clear data management strategy. Then applications of any type could consume data to provide added-value services. Data management lifecycle, strategy and holistic view to make a real change.Link
As Chair of the Allotrope Foundation Board of Directors this is a topic we are passionate about and working hard to change in Research & Development organizations.Link
A commitment to data-as-an-assetLink
I fully agree that this approach leads to a better designed landscape.Link
Many years of working on data challenges in a multinational have made me a strong defender of data-centricity as the main architectural principle for successful business enablement by information technology.Link
Reduce organizational waste and improve business velocity. Today’s enterprise architectures need to be re-thought. Data centric is the way to goLink
This document speaks to a lot of the frustrations my team has been addressing across R&D data management.Link
Data needs to be democratized for use in large organizations and for that to happen, emphasis must be laid on curation and governanceLink
I have long believed that computing should be information centric. With the rise of ontologies and distributed ledger systems this is more achievable than ever.Link
Handled data quality issues for 20 years, unhappy about lack of open, semantic and linked dataLink
I agree with the core message of enterprise architecture to be data- centric.Link
Because we need to fundamentally change How we Think about data to harness its full potentialLink
I saw the light in 1995 and only today I found the manifesto! Great reasoning, this will help me spread this important principal.Link
I'm a strong believer on Digital Transformation. Data centricity is the foundation and enabler to get us there!Link
I believe it and we practice it in our company and projects!Link
I have been a developer, DBA and data architect over my 30+ year IT career. I believe the data-centric approach is the next real revolution needed in the IT industry.Link
We need to make our biology data work for us to find a scalable solution for hair loss.Link
Fully agree and supportLink
Couldn't agree more with your philosophy, and happy to have your guidance and expertise to lead the way in SE AsiaLink
Read Dave McComb's "The Data-Centric Revolution" book and was impressed. I think that if people would have started with IT automation only today, and given the current state of technology (capabilities and performance), the data-centric approach would have been an almost obvious and logical way to realize that automation.Link
« verba volant, scripta manent. »
This old saying applies to data which is the « scripta » of our era.
I firmly believe that data is a fundamental asset for businesses, more than software.
As such it is critical for organizations to do this shift and put data at its right place.
We need all the help we can get to convince organisations that their current application centered systems are expensive dinosaurs!
Application centric approach is a nightmare and very costly in the long run : data must be shared since it is the only true IT asset.Link
Data is the heart and blood in every organizationLink
I've become frustrated at the application-centric view of development which has cost our organisation in terms of cost, time and resources. We need to move to the data-centric paradigm to realise efficiencies and deliver more capability.Link
I believe in Data should be the core of any organisation.Link
I really think organizations need a data centric revolutionLink
Supporting the concept. Identified the need to deploy key principles in our organization.Link
I'm signing because I'm absolutely convinced that application-centric systems an mindsets are paralyzing our businesses. And because I want to see how "what it IS" more than "how it's used. Today."Link
After more than 15 years working with data, in different roles, I'm really believe that Data is the center of everything.
This five key principles of the data-centric manifesto are very true and express all my thoughts that I tried to transmit to my workmates and clients.
The manifesto brings it to the point. After many years working in large financial institutions I can see that thousands of mandays are invested in integrating, connecting, replicating data. Rather making data once available for multiple use we keep it in silos. Beside high implementation costs on every solution it even causes exponentially higher costs in maintenance.Link
We developed a platform that follows exact your definition.
Semantic data, concept modeling, enterprise ontology, model-driven user interface, graph database, semantic No-Code programming, semantic search, .....
This is everything I believe in. I am exhausted from talking myself blue in the face to people who just don't seem to get it. People are afraid to diverge from operations as usual even if they think you're on to something.
This manifesto re-energizes my depleted spirits. I need nothing more than to connect to a community of people who share this vision, and have strategies for leading this paradigm shift.
I would like to be a part of this initiative and gain experience while helping to shape the future.Link
Data Centricity is FOUNDATIONAL to our commercial applications and their continued relevance and especially AGILE response to advances in computer science and software engineering approaches.Link
Data is what people work with, not applications.Link
After over 40 years of programming experience and 30 years in the software industry, having watched fads come and go with fashion, I see the same code being hand-written again and again, with much the same problems to solve and almost always the same set of defects to resolve. The Cloud and Agile do not change this.
I see organisations that have many different (and incompatible) ways of storing a postal address within their own organisation. So much so that they now believe it is impossible to safely share such data across their systems due to multiple sources of the truth being a very real problem for them.
I see generation after generation of developer, bright eyed and full of enthusiasm, believing that their latest language, framework and development tool set is the greatest ever, yet they seem to be far less productive than developers from the late 1990s.
I see the shock on even experienced developers faces when I construct a non-trivial and high-performance 3-tier business application executable, without writing a single line of code, using a schema-driven RAD/JAD tool from 1997 with drag and drop capabilities in about 3 minutes. And yet, they still want to build their next application with hand-written Scala or Java or C# because, despite being shown they're really working in the stone age, they're in love with the expressiveness of their latest application programming language and its test framework.
As one developer put it to me: "I know what you've shown us in 3 minutes would take our (Agile) team 2 to 3 months to write, but I don't like it because it's just too easy and I prefer to write my own code because I trust what I'm doing". The same developer introduced over 180 defects in the next 4 sprints of his project: 45 per sprint on average.
I know of a major income tax return web application that delivers over a quarter of a G7 country's annual government revenue, but that is virtually impossible to make substantial modifications to because the government and systems integrator in question are both terrified of the cost of change: the government financially and the SI because of risk and the potential loss of reputation. Therefore the app, one of the worst designed Java applications I've seen - that uses textbook clean separation of concerns and object-relational mapping - remains in production for the foreseeable future after 11 years of a very expensive 24x7 "mission control" operations to see it though its annual peak of database traffic. This despite the fact that on the one occasion it failed, it kept call centres busy for several months as taxpayers tried and failed to get through to the Helpdesk to complain after being fined for this applications own technical failure on one night of the year.
The same government took direct control of reimplementing its corporation tax return as part of its Digital strategy and took 4 years rather than the 8 months originally estimated to deliver the front end (a web app). The server-side services have subsequently been left relatively untouched. The Digital programme, initially seen as the instigator of healthy "disruption" is no longer chomping at the bit. Nobody wants to rock the boat anymore or have their otherwise good reputation burned.
This best-performing government department in terms of IT delivery, responsible for collecting tax and duties, took nearly 3 years and nearly 300 million dollars to deliver a simple 3 page app running in a private government cloud. The app merely collected an email address in order that tax notifications could be sent to that email address by another system. The organisation is internationally celebrated as a exemplary Digital Service and is as Agile as any public or private organisation that I know of, being far better at Agile than most. Yet its crippled by the application-centric environment in which it exists.
This government department wins awards every year for its Digital platform (a very large collection of microservices), its innovation and dedication to modernisation. Nevertheless, after over 5 years, all the signficant nontrival tax web applications run on 2008-era J2EE technology, a very expensive proprietary database and an inflexible ERP system, maintained by one of the most expensive outsourcing contracts in Europe.
This same government department has always retained an in-house IT capability. This revolves around a mainframe computer dating from the late 1960s and, I understand, remains a provider of gainful employment for COBOL programmers.
The same is true of the banks. Some of the biggest and most successful banks in the world (and I speak from experience having dealt with some of the biggest banks in one or the world's two leading financial centres) have incredibly antiquated systems. So old in fact that ASCII character encoding is too recent to be compatible with their systems. Again, they're terrified of the costs and risks of change and so stick to technology that was already appearing dated in the early 1970s. Yet the costs of maintaining these systems and the extensions to them are astronomical.
This costs all of us, be it through charges, taxes or lost opportunities. It stifles competition and innovation. And sooner or later it must come to an end. A Data-centric vision, combined with other advances and technologies is now at the point of being able to deliver a fundamental shift in the way that we think about and develop IT systems.
I am absolutely convinced that the Data-centric approach is the most sensible and pragmatic way to change the current state of affairs. I believe that advances in ML and rediscovery of programming paradigms compatible with the Data-centric approach will inevitably (and at some point quite quickly) replace the status quo.
interested in systems that eliminate data silos and wasted IT resources and that are driven by ontologies that relate data to each other in much more logical constructions.Link
I read two books on Data-Centric and I'm convinced it has potential to change the way we develop enterprise software solutions.Link
I've been part of the problem for decades; this is the only pragmatic way outLink
I believe in the principles of the data centric manifesto. And I believe data is power in today's world. And data can give insight to any aspect of business.Link
I am working for Czech government on open data projects and I have seen many problems on many places with opening data. These problems are mostly caused by application centric architectures. In my opinion, governments should be data centric natively.Link
While contributing to the digital transformation of a heavily silo-ed organization, I've seen time and again people making the mistake of application-centric approach and treating data as second-class citizen. The short term goals (and gains) soon become a liability only to rearrange the teams to start yet another project.Link
Need to better organize the information Architecture.Link
I am passionate about data and information discovery. I am always exploring new ways to think or re-think about ideas and concepts from other experts.Link
"Data is self-describing and does not rely on an application for interpretation and meaning." exactly hits the point.Link
I feel data-centric model will streamline and provide much more value to the future data assets.Link
If you think of, it's an almost natural concept that you will find by yourself when you try to act and survive in a fully digitalized business world.Link
Data-Centric stands for performance, control, flexibility and quality of information processing. Great for users. Less applications, less updates, less code - less business for Coders. Big step towards industrialization of information processing. Since its foundation as a spin-off from HSG in 1996, Information Factory has relied on data-centered architectures.Link
Because its MUCH better than application centric and so is good for everyone except those with vested interests in selling less efficient solutions for selfish reasons.Link
Aligns with my experience and my passion to bring positive change: noticed the pitfalls and lurking challenges of information, data and knowledge governance, maintenace, and mgmt and the lacking holsitic not siloed tools and processes around it to enable a more ideal state over the past 2 decades in tech. Instead of improvement I see devolution and lack of foresight esp in the wake of novel technologies and approaches which may redefine how we look at and process data. Curious to learn moreLink
The data-centric manifesto articulates something I have been trying to put a name to for a long time. Data is key to and lives within the business but is too often held captive by IT and applications. The priorities need to be reversed.Link
To help my organisation move up the data maturity curve! Data ahoy!Link
We all talk about being data-centric, however until we put data first that won't be complete the case.Link
Moving security/permissioning to the data layer vs the application layer would accelerate the ability to innovate and further enable democratization of API and product development.Link
Made a career of seeking out a Data Centric Security Paradigm where security enforced data policy that was independent of the of the infrastructure and application used to share and process that data. This has resulted in the publication of the Information Exchange Framework (IEF) at the OMG. A policy-driven data-centric solution to information sharing and safeguarding; and an open standard!
Have a read and feel free to comment. Better still - participate in the development of the DCS standards!
The data-centric architecture is important for everyone who has been frustrated by recurrent wasting of money and time during software development, caused by solving the same data integration problems over and over. All this seems to be a great fit for the eGovernment sector (among others) and the manifesto conveys this message in a well-understandable manner.Link
For a long time, we put data & information at the center of what we do. Happy to support this initiative!Link
This has always been my thinking but now Dave has finally brought this to the public's attention. It is the way to fix the current mess. I am looking forward to contributing to this movement.Link
Data-centric manifesto is (also) a good tool to use explaining how enterprise solutions should be (re)thinked.Link
To help companies move away from application centric mindset and enable them compete better.Link
The problem of technical debt compounded by AI projects.Link
Great one page manifesto I intend to circulate!Link
With the new 300mm semiconductor manufacturing plant we aim to build a data-centric architecture. We assume this is new to the semiconductor world but an essential move forward. We fully support the defined principles.Link
would like to design a system based on the data-centric architectureLink
As a leader I must enable the success of my employees, the Firm and ultimately to positively support Society by bringing valued goods and services to the Market. I must breakdown barriers and free them of artificial constraints. To do otherwise is a disservice.Link
Completing information in redundant systems is time consuming. I believe data should be ubiquitous.Link
I we have applied these principles to a decentralized metadata management and publication tool.Link
I know the impact of not having a data centric organisationLink
In the 12 years of being an architect I had data in a blind spot of my view. It was important, but the information analysts would take care of that... A big flaw! They tend to think in the scope of projects and applications. Now I’m battling to make data the most important asset.Link
There are many problems with information systems and applications. Data-centric revolution is the way to solve most of the problems (in my opinion).Link
Too many times witnessed myopic discussions on tooling while it brings no business value, only data does.Link
Some people think data is a matter of life and death. I assure you, it's much more serious than that ;-)Link
Data-centric design encourages the integrity of computational and human resources alike.Link
Data centricity for organizations was clarified for me in conversations with Fabio Carrera, whose thesis on "City Knowledge" (MIT, 2004)  made a very strong case for capturing, indexing, and exposing data at the the moment when data is first entered into the administrative functions of a city.
In Carrera's example, the creation of a property record would be annotated and linked to any subsequent actions related to it over time, such as assessments, taxes, repairs, renovations, etc. Further, Carrera's field work (mapping the canals, sculptures, bridges, and gondola routes of Venice)  only served to reinforce the vital need for holistic data about the city, rather than each sector keeping the best data inside of a self-contained silo. In many cases, it may be impossible to avoid building a silo, but with a data centric perspective, you can avoid the worst problems when dealing with interoperability and migration later on.
This led me to focus on channelizing communications, and indexing content (both informally, as with SOLR, and formally, with tags, metadata, or ontologies).
The holistic approach to data development was a big influence in the development of the China Historical GIS,  and the ChinaMap  resources. Similarly the need for open linked data drove the development of the CHGIS XML Webservice (2006) and eventually the Temporal Gazetteer (2014). Free access and machine-actionable web services are essential for our data-centric future, though we should also realize that curated data that exposes its methodologies and operable code has long-lasting value that is not superceded by generation of infinite streams of unclassified, unorganized, raw data.
Data itself, without proven methods for processing and interpretation, is a mountain of undifferntiated rock. It's up to us to find the jewels, and during the search keep our minds open to new perspectives. It is the interstitial and unanticipated relationships between datasets gathered for unrelated purposes that prove to be quite interesting.
The data centric approach, to my mind, is synonymous with focus, with avoiding redundancy, with compatibility, with convergence of efforts within an organization, and finding modes of contact and support with collaborators outside.
1. Carrera, Fabio. "City Knowledge." Thesis, MIT, 2004.
2. Venice Project. Worcester Polytechnic Institute. http://www.veniceprojectcenter.org/vpc
3. China Historical GIS https://sites.fas.harvard.edu/~chgis/
4. ChinaMap (Modern China GIS Archive) http://worldmap.harvard.edu/chinamap/
5. Temporal Gazetteer TGAZ http://maps.cga.harvard.edu/tgaz/
Fully adhering with the vision of reversing the relationship between applications and data.Link
For the past 12 years I've been leading a international clinical community to establish a library of free, open atomic digital health data standards. It is a critical foundation required to transform digital health from application silos patched together with messages, to accurate, high quality, free flowing health data available for provision of safe care.Link
There are a variety of challenges in biomedical data integration that stand in the way of scientific insights. The variety of data models from lab information systems, lab notebooks, and mountains of excel spreadsheets really undermine the ability to ensure that the right data is in the right place at the right time to answer a question or test a hypothesis. I think it is critical to bring a data-centric mindset, architecture, and model-driven systems into the biotech industry if we are going to produce trustworthy analyses that drive innovation for patients in need.Link
As a government worker and information/data architect, one of my drivers is a more transparent and evidence-based public service and civil society.
This isn’t going to happen without a bunch of us promoting and enabling the optimal use of information & data assets for government business delivery and decision-making.
Being “data-centric” serving this purpose also means being “data-driven”, and it means that data isn’t a byproduct of applications anymore, it’s an enterprise asset of it own.
This also means that a more significant portion of data architecture & engineering has to be done in a technology-agnostic way; that a lot of efforts need to be invested in the (business) semantics and (data) syntax before getting into implementation & technology considerations.
I've been a champion of FAIR data within the Biopharma industry and the goals are very tightly aligned.Link
I totally agree with the purpose of the manifesto and I already deal with this mindset transformation.Link
I have realized this as the problem for years. I firmly believe that Data and Capabilities should drive the development of any solution, not applications, the latest new widget, or technique.Link
I agree with the thesis.Link
Many years of work in information technology and IT standards have convinced me that data-centricity is the way to architect efficient, scalable solutions.Link
Let's believe the power of connected data and the FAIR principles. Let's respect semantic retrieval and compatibilities of the knowledge graphs. Let's enjoy!Link
Data and semantic AI are source of potential masses of new knowledge. We just left the software centric era to enter the data centric one. For that, data needs to be explicit, thanks to shared ontologies and taxonomies, in order to be a Lingua Franca for both humans and machines.Link
This is a great set of core principals to adhere to for anyone who wishes to actually do something productive with data.Link
Hardware comes and goes
Software comes and goes
Because most Municipal Agencies are missing an enterprise data integration layer that includes geospatial data, and and absence of any Master Data Management processes.Link
Too often now I’ve seen C level people go for MVPs without the required efforts on “Data”, only interested in features and functionality. Too often this leads to something I call ‘just Minimal Products’. Without data focus these MVPs are not viable.Link
I believe in the process. This is the only way to move forward. Data is Everything and should be the center of the System of Systems.Link
Eliminating data silos starts with these core principles.Link
Data is the driver of our new economy - we must treat it as a versatile, valuable, and recyclable asset - rather than a simple by-product of business process.Link
I adhere completely to the problem statement and vision. we have to shift from an application centric to data centric operating model and governanceLink
Researching ontological architecture and it's benefitsLink
To explore this paradigm for engineering and manufacturing industryLink
Im committed with the principles and their application on the digital transformation assets of the platforms landscape.Link
I am developing an open standard around this with an important strategy that eliminates the need for middleware altogether - https://colossal.gitbook.io/direct-database/Link