NIH Data Commons - Note: Presentation has animations
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The NIH Data Commons is a platform designed to create a digital ecosystem for sharing and utilizing FAIR (Findable, Accessible, Interoperable, Reproducible) data. It allows seamless transactions of digital assets like research data and tools while fostering collaboration among researchers. The initiative includes pilot programs to enhance data accessibility and interoperability through cloud technology and innovative data management strategies.
NIH Data Commons - Note: Presentation has animations
- 1. The NIH Data Commons Digital Ecosystems for using and sharing FAIR Data Vivien Bonazzi, Ph.D. Senior Advisor for Data Science Office of Data Science (ADDS) National Institutes of Health
- 2. The Data Commons is a platform that fosters the development of a digital ecosystem
- 3. That digital ecosystem allows transactions to occur on FAIR data at scale
- 4. Data Commons is a Platform that fosters development of a digital Ecosystem Treats products of research – data, software, methods, papers etc as a digital asset (object) Digital objects need to conform to FAIR principles - Findable, Accessible, Interoperable, Reproducible Digital objects exist in a shared virtual space (initial) - Find, Deposit, Manage, Share and Reuse: digital assets Enables interactions between Producers and Consumers of digital assets Gives currency to digital assets and the people who develop and support them
- 5. To understand the Data Commons Platform (and how it works for biomedical data) we need to use a Platform stack to help visualize the concept
- 6. NIH Data Commons - Platform Stack https://datascience.nih.gov/commons
- 7. https://datascience.nih.gov/commons NIH Data Commons - Platform Stack
- 8. NIH Data Commons - Platform Stack Digital Market Place, Bazaar, Community Sangeet Paul Choudary – Platform Scale Network/Com munity Market Place Technology Data
- 9. NIH Data Commons Pilots
- 10. Current Data Commons Pilots Reference Data Sets Commons Stack Pilots Cloud Credit Model Resource Search & Index • Explore feasibility of the Commons Platform (FW) • Provide data objects to populate the Commons • Facilitate collaboration and interoperability • Provide access to cloud (IaaS) and PaaS/SaaS via credits • Connecting credits to NIH Grant • Making large and/or high value NIH funded data sets and tool accessible in the cloud • Developing Data & Software Indexing methods • Leveraging BD2K efforts bioCADDIE et al • Collaborating with external groups
- 12. Data Commons Pilot – connecting the pieces Co-location of large and/or highly utilized NIH funded data on the cloud + commonly used tools for analyzing and sharing digital objects to create an interoperable resource for the research community. Investigators will be able to collaborate and share digital objects within this environment and connect with others
- 13. An NIH Wide Data Commons Pilot Data Lake
- 14. Data Lake
- 17. Indexing Data Lake New large data projects Messy data Data Pond
- 19. Considerations Metrics - understanding and accounting of data usage patterns Cost - Cloud Storage, pay for use cloud compute (NIH credits) Hybrid Clouds – Mix of research and commercial clouds Connecting - Interoperability with other Commons, clouds Consent - Reconsenting data, Dynamic consents Standards – Metadata, UIDs, APIs
- 20. A digital economy is characterized by making data a central currency to gain a business advantage Organizations that are not born digital will be at a disadvantage in the new economy
- 21. Thank you • ADDS Office - Phil Bourne, Michelle Dunn, Jennie Larkin, Mark Guyer, Sonynka Ngosso • NCBI: George Komatsoulis • NHGRI: Valentina di Francesco • NIGMS: Susan Gregurik • CIT: Andrea Norris, Debbie Sinmao, • NCI: Warren Kibbe, Tony Kerlavage, Tanja Davidsen, Ian Fore • NIAID: JJ McGowan, Nick Weber, Darrell Hurt, Maria Giovanni, Alison Yao • The NIH Common Fund: Betsy Wilder, Jim Anderson, Leslie Derr • Trans NIH BD2K Executive Committee & Working groups • Many biomedical researchers, cloud providers, IT professionals
- 22. Stay in Touch QR Business Card LinkedIn @VivienBonazzi Slideshare Blog (Coming soon!) Vivien Bonazzi bonazziv@mail.nih.gov
Editor's Notes
- #6: Framework helps visualize the concept of the platform