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FAIR data station for lightweight metadata management and validation of omics studies
BACKGROUND: The life sciences are one of the biggest suppliers of scientific data. Reusing and connecting these data can uncover hidden insights and lead to new concepts. Efficient reuse of these datasets is strongly promoted when they are interlinked with a sufficient amount of machine-actionable m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989329/ https://www.ncbi.nlm.nih.gov/pubmed/36879493 http://dx.doi.org/10.1093/gigascience/giad014 |
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author | Nijsse, Bart Schaap, Peter J Koehorst, Jasper J |
author_facet | Nijsse, Bart Schaap, Peter J Koehorst, Jasper J |
author_sort | Nijsse, Bart |
collection | PubMed |
description | BACKGROUND: The life sciences are one of the biggest suppliers of scientific data. Reusing and connecting these data can uncover hidden insights and lead to new concepts. Efficient reuse of these datasets is strongly promoted when they are interlinked with a sufficient amount of machine-actionable metadata. While the FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles have been accepted by all stakeholders, in practice, there are only a limited number of easy-to-adopt implementations available that fulfill the needs of data producers. FINDINGS: We developed the FAIR Data Station, a lightweight application written in Java, that aims to support researchers in managing research metadata according to the FAIR principles. It implements the ISA metadata framework and uses minimal information metadata standards to capture experiment metadata. The FAIR Data Station consists of 3 modules. Based on the minimal information model(s) selected by the user, the “form generation module” creates a metadata template Excel workbook with a header row of machine-actionable attribute names. The Excel workbook is subsequently used by the data producer(s) as a familiar environment for sample metadata registration. At any point during this process, the format of the recorded values can be checked using the “validation module.” Finally, the “resource module” can be used to convert the set of metadata recorded in the Excel workbook in RDF format, enabling (cross-project) (meta)data searches and, for publishing of sequence data, in an European Nucleotide Archive–compatible XML metadata file. CONCLUSIONS: Turning FAIR into reality requires the availability of easy-to-adopt data FAIRification workflows that are also of direct use for data producers. As such, the FAIR Data Station provides, in addition to the means to correctly FAIRify (omics) data, the means to build searchable metadata databases of similar projects and can assist in ENA metadata submission of sequence data. The FAIR Data Station is available at https://fairbydesign.nl. |
format | Online Article Text |
id | pubmed-9989329 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-99893292023-03-08 FAIR data station for lightweight metadata management and validation of omics studies Nijsse, Bart Schaap, Peter J Koehorst, Jasper J Gigascience Technical Note BACKGROUND: The life sciences are one of the biggest suppliers of scientific data. Reusing and connecting these data can uncover hidden insights and lead to new concepts. Efficient reuse of these datasets is strongly promoted when they are interlinked with a sufficient amount of machine-actionable metadata. While the FAIR (Findable, Accessible, Interoperable, Reusable) guiding principles have been accepted by all stakeholders, in practice, there are only a limited number of easy-to-adopt implementations available that fulfill the needs of data producers. FINDINGS: We developed the FAIR Data Station, a lightweight application written in Java, that aims to support researchers in managing research metadata according to the FAIR principles. It implements the ISA metadata framework and uses minimal information metadata standards to capture experiment metadata. The FAIR Data Station consists of 3 modules. Based on the minimal information model(s) selected by the user, the “form generation module” creates a metadata template Excel workbook with a header row of machine-actionable attribute names. The Excel workbook is subsequently used by the data producer(s) as a familiar environment for sample metadata registration. At any point during this process, the format of the recorded values can be checked using the “validation module.” Finally, the “resource module” can be used to convert the set of metadata recorded in the Excel workbook in RDF format, enabling (cross-project) (meta)data searches and, for publishing of sequence data, in an European Nucleotide Archive–compatible XML metadata file. CONCLUSIONS: Turning FAIR into reality requires the availability of easy-to-adopt data FAIRification workflows that are also of direct use for data producers. As such, the FAIR Data Station provides, in addition to the means to correctly FAIRify (omics) data, the means to build searchable metadata databases of similar projects and can assist in ENA metadata submission of sequence data. The FAIR Data Station is available at https://fairbydesign.nl. Oxford University Press 2023-03-06 /pmc/articles/PMC9989329/ /pubmed/36879493 http://dx.doi.org/10.1093/gigascience/giad014 Text en © The Author(s) 2023. Published by Oxford University Press GigaScience. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Note Nijsse, Bart Schaap, Peter J Koehorst, Jasper J FAIR data station for lightweight metadata management and validation of omics studies |
title | FAIR data station for lightweight metadata management and validation of omics studies |
title_full | FAIR data station for lightweight metadata management and validation of omics studies |
title_fullStr | FAIR data station for lightweight metadata management and validation of omics studies |
title_full_unstemmed | FAIR data station for lightweight metadata management and validation of omics studies |
title_short | FAIR data station for lightweight metadata management and validation of omics studies |
title_sort | fair data station for lightweight metadata management and validation of omics studies |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989329/ https://www.ncbi.nlm.nih.gov/pubmed/36879493 http://dx.doi.org/10.1093/gigascience/giad014 |
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