Journal article
Making Common Fund data more findable: catalyzing a data ecosystem
- Abstract:
- The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes of Health Common Fund without requiring that data owners move, reformat, or rehost those data. This system is centered on a catalog that integrates detailed descriptions of biomedical datasets from individual Common Fund Programs’ Data Coordination Centers (DCCs) into a uniform metadata model that can then be indexed and searched from a centralized portal. This Crosscut Metadata Model (C2M2) supports the wide variety of data types and metadata terms used by individual DCCs and can readily describe nearly all forms of biomedical research data. We detail its use to ingest and index data from 11 DCCs.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 3.0MB, Terms of use)
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- Publisher copy:
- 10.1093/gigascience/giac105
Authors
- Publisher:
- Oxford University Press
- Journal:
- GigaScience More from this journal
- Volume:
- 11
- Article number:
- giac105
- Publication date:
- 2022-11-21
- Acceptance date:
- 2022-10-10
- DOI:
- EISSN:
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2047-217X
- Pmid:
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36409836
- Language:
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English
- Keywords:
- Pubs id:
-
1308429
- Local pid:
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pubs:1308429
- Deposit date:
-
2022-11-28
Terms of use
- Copyright holder:
- Charbonneau et al.
- Copyright date:
- 2022
- Rights statement:
- © The Author(s) 2022. Published by Oxford University Press GigaScience. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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