Journal article
DataMed - an open source discovery index for finding biomedical datasets
- Abstract:
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Objective: Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain.
Materials and Methods: DataMed, which can efficiently index and search diverse types of biomedical datasets across rep...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Preview, Accepted manuscript, pdf, 103.8KB, Terms of use)
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- Publisher copy:
- 10.1093/jamia/ocx121
Authors
Funding
Bibliographic Details
- Publisher:
- Oxford University Press
- Journal:
- Journal of the American Medical Informatics Association More from this journal
- Volume:
- 25
- Issue:
- 3
- Pages:
- 300-308
- Publication date:
- 2018-01-13
- Acceptance date:
- 2017-09-28
- DOI:
- EISSN:
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1527-974X
- ISSN:
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1067-5027
- Pmid:
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29346583
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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pubs:820922
- UUID:
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uuid:57d25dca-43d0-4739-8df8-31cfcc102a28
- Local pid:
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pubs:820922
- Source identifiers:
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820922
- Deposit date:
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2018-05-09
Terms of use
- Copyright holder:
- Chen, et al
- Copyright date:
- 2018
- Notes:
- © Chen, et al 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. This is the author accepted manuscript following peer review version of the article. The final version is available online from Oxford University Press at: 10.1093/jamia/ocx121
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