Published November 7, 2024
| Version v1
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GREI Data Repository AI Taxonomy
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Description
The Generalist Repository Ecosystem Initiative (GREI), funded by the NIH, developed an AI taxonomy tailored to data repository roles to guide AI integration across repository management. It categorizes the roles into stages, including acquisition, validation, organization, enhancement, analysis, sharing, and user support, providing a structured framework for implementing AI in repository workflows.
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2411.08054v1.pdf
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Additional details
Funding
- National Institutes of Health
- Advancing Figshare and the generalist repository landscape to meet research community needs 3OT2DB000006-01S1
- National Institutes of Health
- Center for Open Science (COS) Proposal for the NIH Generalist Repository Ecosystem Initiative (GREI) 3OT2DB000001-01S1
- National Institutes of Health
- THE GENERALIST REPOSITORY ECOSYSTEM INITIATIVE (GREI) 1OT2DB000002-01
- National Institutes of Health
- Zenodo and the Generalist Repository Ecosystem Initiative (GREI) 1OT2DB000013-01
- National Institutes of Health
- Dryad and the Generalist Repository Ecosystem Initiative (GREI) 3OT2DB000005-01S1
- National Institutes of Health
- Vivli: A Generalist Repository For Clinical Trials Data 3OT2DB000003-01S1
- National Institutes of Health
- The Harvard Dataverse repository: A generalist repository integrated with a Data Commons 3OT2DB000004-01S1