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BioSharing: Harnessing Metadata Standards for the Data Commons
- Publication Year :
- 2017
- Publisher :
- Cold Spring Harbor Laboratory, 2017.
-
Abstract
- The use of community-driven metadata standards, such as minimal information guidelines, terminologies, formats/models, is essential to ensure that data and other digital research outputs are Findable, Accessible, Interoperable, and Reusable, according to the FAIR principles. As with other types of digital assets, metadata standards also need be FAIR. Their discoverability and accessibility is ensured by BioSharing, the most comprehensive resource of metadata standards, interlinked to data repositories and policies, available in the life, environmental and biomedical sciences. With its growing content, endorsements, and collaborative network, BioSharing is part of a larger ecosystem of interoperable resources. Here we describe some of the activities under the USA National Institutes of Health (NIH)’s Big Data to Knowledge (BD2K) Initiative, illustrating how we track the evolution and use of metadata standards and work to connect them to indexes and annotation tools.
- Subjects :
- 0303 health sciences
020205 medical informatics
Computer science
business.industry
Big data
Interoperability
Meta Data Services
02 engineering and technology
Discoverability
Metadata
World Wide Web
03 medical and health sciences
Annotation
Resource (project management)
0202 electrical engineering, electronic engineering, information engineering
business
030304 developmental biology
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....26b05a75c1ccb1465e8403bb0ed7e687
- Full Text :
- https://doi.org/10.1101/144147