Finding useful data across multiple biomedical data repositories using DataMed
The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the NIH Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a...
| Main Authors: | , , , , , , , , , , |
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| Format: | Journal article |
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Nature Publishing Group
2017
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| _version_ | 1797091145122054144 |
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| author | Ohno-Machado, L Sansone, S Alter, G Fore, I Grethe, J Xu, H Rocca-Serra, P Gonzalez-Beltran, A Soysal, E Zong, N Kim, H |
| author_facet | Ohno-Machado, L Sansone, S Alter, G Fore, I Grethe, J Xu, H Rocca-Serra, P Gonzalez-Beltran, A Soysal, E Zong, N Kim, H |
| author_sort | Ohno-Machado, L |
| collection | OXFORD |
| description | The value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the NIH Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a data index and search engine, which are based on metadata extracted from various datasets in a range of repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature. DataMed supports Findability and Accessibility of datasets. These characteristics - along with Interoperability and Reusability - compose the four FAIR principles to facilitate knowledge discovery in today’s big data-intensive science landscape. |
| first_indexed | 2024-03-07T03:28:49Z |
| format | Journal article |
| id | oxford-uuid:b9fb91ab-5db9-47ec-ba94-23553ce15917 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T03:28:49Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | oxford-uuid:b9fb91ab-5db9-47ec-ba94-23553ce159172022-03-27T05:06:49ZFinding useful data across multiple biomedical data repositories using DataMedJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b9fb91ab-5db9-47ec-ba94-23553ce15917Symplectic Elements at OxfordNature Publishing Group2017Ohno-Machado, LSansone, SAlter, GFore, IGrethe, JXu, HRocca-Serra, PGonzalez-Beltran, ASoysal, EZong, NKim, HThe value of broadening searches for data across multiple repositories has been identified by the biomedical research community. As part of the NIH Big Data to Knowledge initiative, we work with an international community of researchers, service providers and knowledge experts to develop and test a data index and search engine, which are based on metadata extracted from various datasets in a range of repositories. DataMed is designed to be, for data, what PubMed has been for the scientific literature. DataMed supports Findability and Accessibility of datasets. These characteristics - along with Interoperability and Reusability - compose the four FAIR principles to facilitate knowledge discovery in today’s big data-intensive science landscape. |
| spellingShingle | Ohno-Machado, L Sansone, S Alter, G Fore, I Grethe, J Xu, H Rocca-Serra, P Gonzalez-Beltran, A Soysal, E Zong, N Kim, H Finding useful data across multiple biomedical data repositories using DataMed |
| title | Finding useful data across multiple biomedical data repositories using DataMed |
| title_full | Finding useful data across multiple biomedical data repositories using DataMed |
| title_fullStr | Finding useful data across multiple biomedical data repositories using DataMed |
| title_full_unstemmed | Finding useful data across multiple biomedical data repositories using DataMed |
| title_short | Finding useful data across multiple biomedical data repositories using DataMed |
| title_sort | finding useful data across multiple biomedical data repositories using datamed |
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