Making Common Fund data more findable: catalyzing a data ecosystem.
Journal
GigaScience
ISSN: 2047-217X
Titre abrégé: Gigascience
Pays: United States
ID NLM: 101596872
Informations de publication
Date de publication:
21 11 2022
21 11 2022
Historique:
received:
11
05
2022
revised:
16
09
2022
accepted:
10
10
2022
entrez:
21
11
2022
pubmed:
22
11
2022
medline:
24
11
2022
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 36409836
pii: 6835135
doi: 10.1093/gigascience/giac105
pmc: PMC9677336
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIH HHS
ID : OT3 OD025459
Pays : United States
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/L024055/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/H024921/1
Pays : United Kingdom
Organisme : NIH HHS
ID : OT2 OD030160
Pays : United States
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/E025080/1
Pays : United Kingdom
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/I000771/1
Pays : United Kingdom
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press GigaScience.
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