Article ; Online: BioSamples database: FAIRer samples metadata to accelerate research data management.
2021 Volume 50, Issue D1, Page(s) D1500–D1507
Abstract: The BioSamples database at EMBL-EBI is the central institutional repository for sample metadata storage and connection to EMBL-EBI archives and other resources. The technical improvements to our infrastructure described in our last update have enabled us ...
| Abstract | The BioSamples database at EMBL-EBI is the central institutional repository for sample metadata storage and connection to EMBL-EBI archives and other resources. The technical improvements to our infrastructure described in our last update have enabled us to scale and accommodate an increasing number of communities, resulting in a higher number of submissions and more heterogeneous data. The BioSamples database now has a valuable set of features and processes to improve data quality in BioSamples, and in particular enriching metadata content and following FAIR principles. In this manuscript, we describe how BioSamples in 2021 handles requirements from our community of users through exemplar use cases: increased findability of samples and improved data management practices support the goals of the ReSOLUTE project, how the plant community benefits from being able to link genotypic to phenotypic information, and we highlight how cumulatively those improvements contribute to more complex multi-omics data integration supporting COVID-19 research. Finally, we present underlying technical features used as pillars throughout those use cases and how they are reused for expanded engagement with communities such as FAIRplus and the Global Alliance for Genomics and Health. Availability: The BioSamples database is freely available at http://www.ebi.ac.uk/biosamples. Content is distributed under the EMBL-EBI Terms of Use available at https://www.ebi.ac.uk/about/terms-of-use. The BioSamples code is available at https://github.com/EBIBioSamples/biosamples-v4 and distributed under the Apache 2.0 license. |
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| MeSH term(s) | COVID-19/genetics ; COVID-19/virology ; Databases, Factual ; Gene Expression Profiling ; Genomics ; Host-Pathogen Interactions/physiology ; Humans ; Metadata ; Phenotype ; Plant Physiological Phenomena/genetics ; SARS-CoV-2/genetics |
| Language | English |
| Publishing date | 2021-11-08 |
| Publishing country | England |
| Document type | Journal Article ; Research Support, Non-U.S. Gov't |
| ZDB-ID | 186809-3 |
| ISSN | 1362-4962 ; 1362-4954 ; 0301-5610 ; 0305-1048 |
| ISSN (online) | 1362-4962 ; 1362-4954 |
| ISSN | 0301-5610 ; 0305-1048 |
| DOI | 10.1093/nar/gkab1046 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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