Research Paper (Preprint): “GREI Data Repository AI Taxonomy”
The paper linked below (preprint) was recently shared on arXiv.
Title
GREI Data Repository AI Taxonomy
Authors
John Chodacki
California Digital Library
Mark Hanhel
figsnare
Stefano Iacus
Dataverse
Ryan Scherle
Dryad
Eric Olson
Center for Open Science
Nici Pfeiffer
Center for Open Science
Kristi Holmes
Zenodo
Mohammad Hosseini
Zenodo
Source
via arXiv
DOI: 10.48550/arXiv.2411.08054
Abstract
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.
Direct to Full Text (preprint)
7 pages; PDF.
Filed under: Data Files, Digital Collections, Interactive Tools, Journal Articles, Libraries, Management and Leadership, News, Open Access
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.
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