Data ownership starts with data CONTROL
THE FUTURE IS ACCESS, NOT COPIES
The Data Collaboration Alliance is a nonprofit that is dedicated to a future where data is fully-controlled by its rightful owners and a more democratic generation of technologists are empowered to collaborate on building new solutions using the universal language of data.
WHAT WE DO
Experiments | Skills| Leadership
THE DATA DROP
It's your data. This is your podcast.
PARTNERSHIPS
Joining the Data Collaboration Alliance is free and opens opportunities for your brand, content, leadership, media, and learning programs.
The combination of Data Collaboration and data ownership will define digital transformation for decades to come. I fully support the Data Collaboration Alliance in their efforts to accelerate that future.
Sylvie Veilleux
Chief Information Officer
Dropbox
"We're talking about re-architecting the next wave of digital society, and we're going to need a lot of people to pitch in."
Mark Surman
Executive Director
Mozilla Foundation
SETTING STANDARDS FOR
DATA OWNERSHIP
How can today's technology leaders accelerate the launch of new digital services while simultaneously complying with increasingly strict national and international Data Protection regulations? We're supporting Zero-Copy Integration, a new standard in Data Governance that is providing a framework to help make it possible.
FREE
DATA COLLABORATION
LEARNING
Now open for pre-registration
Our Learning Zone is supporting a new generation of technologists with free training in Data Ownership and the Data Collaboration framework.
Courses start in Fall 2021.
NEWS AND EDITORIAL
DATA COLLABORATION
Data Collaboration is a framework and methodology for building new digital solutions such as apps, systems, analytics, and automations from an environment that is controlled, copy-less, and democratic.
Data Collaboration is made possible by leveraging modern concepts and capabilities in data management:
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Network-based architecture (Data Fabric)
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Federated Governance (Data Mesh)
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Autonomous Data (data-level controls)
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Data-Centricity (Active Metadata)
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Data Model Plasticity (Linked Data)