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GREI Data Repository AI Taxonomy

Digital Libraries 2024-11-14 v1 Artificial Intelligence Machine Learning
Authors: John Chodacki , Mark Hanhel , Stefano Iacus , Ryan Scherle , Eric Olson , Nici Pfeiffer , Kristi Holmes , Mohammad Hosseini
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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.

Cite

@article{arxiv.2411.08054,
  title  = {GREI Data Repository AI Taxonomy},
  author = {John Chodacki and Mark Hanhel and Stefano Iacus and Ryan Scherle and Eric Olson and Nici Pfeiffer and Kristi Holmes and Mohammad Hosseini},
  journal= {arXiv preprint arXiv:2411.08054},
  year   = {2024}
}

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