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re3data – Indexing the Global Research Data Repository Landscape Since 2012
For more than ten years, re3data, a global registry of research data repositories (RDRs), has been helping scientists, funding agencies, libraries, and data centers with finding, identifying, and referencing RDRs. As the world’s largest directory of RDRs, re3data currently describes over 3,000 RDRs...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465540/ https://www.ncbi.nlm.nih.gov/pubmed/37644024 http://dx.doi.org/10.1038/s41597-023-02462-y |
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author | Pampel, Heinz Weisweiler, Nina Leonie Strecker, Dorothea Witt, Michael Vierkant, Paul Elger, Kirsten Bertelmann, Roland Buys, Matthew Ferguson, Lea Maria Kindling, Maxi Kotarski, Rachael Petras, Vivien |
author_facet | Pampel, Heinz Weisweiler, Nina Leonie Strecker, Dorothea Witt, Michael Vierkant, Paul Elger, Kirsten Bertelmann, Roland Buys, Matthew Ferguson, Lea Maria Kindling, Maxi Kotarski, Rachael Petras, Vivien |
author_sort | Pampel, Heinz |
collection | PubMed |
description | For more than ten years, re3data, a global registry of research data repositories (RDRs), has been helping scientists, funding agencies, libraries, and data centers with finding, identifying, and referencing RDRs. As the world’s largest directory of RDRs, re3data currently describes over 3,000 RDRs on the basis of a comprehensive metadata schema. The service allows searching for RDRs of any type and from all disciplines, and users can filter results based on a wide range of characteristics. The re3data RDR descriptions are available as Open Data accessible through an API and are utilized by numerous Open Science services. re3data is engaged in various initiatives and projects concerning data management and is mentioned in the policies of many scientific institutions, funding organizations, and publishers. This article reflects on the ten-year experience of running re3data and discusses ten key issues related to the management of an Open Science service that caters to RDRs worldwide. |
format | Online Article Text |
id | pubmed-10465540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104655402023-08-31 re3data – Indexing the Global Research Data Repository Landscape Since 2012 Pampel, Heinz Weisweiler, Nina Leonie Strecker, Dorothea Witt, Michael Vierkant, Paul Elger, Kirsten Bertelmann, Roland Buys, Matthew Ferguson, Lea Maria Kindling, Maxi Kotarski, Rachael Petras, Vivien Sci Data Article For more than ten years, re3data, a global registry of research data repositories (RDRs), has been helping scientists, funding agencies, libraries, and data centers with finding, identifying, and referencing RDRs. As the world’s largest directory of RDRs, re3data currently describes over 3,000 RDRs on the basis of a comprehensive metadata schema. The service allows searching for RDRs of any type and from all disciplines, and users can filter results based on a wide range of characteristics. The re3data RDR descriptions are available as Open Data accessible through an API and are utilized by numerous Open Science services. re3data is engaged in various initiatives and projects concerning data management and is mentioned in the policies of many scientific institutions, funding organizations, and publishers. This article reflects on the ten-year experience of running re3data and discusses ten key issues related to the management of an Open Science service that caters to RDRs worldwide. Nature Publishing Group UK 2023-08-29 /pmc/articles/PMC10465540/ /pubmed/37644024 http://dx.doi.org/10.1038/s41597-023-02462-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Pampel, Heinz Weisweiler, Nina Leonie Strecker, Dorothea Witt, Michael Vierkant, Paul Elger, Kirsten Bertelmann, Roland Buys, Matthew Ferguson, Lea Maria Kindling, Maxi Kotarski, Rachael Petras, Vivien re3data – Indexing the Global Research Data Repository Landscape Since 2012 |
title | re3data – Indexing the Global Research Data Repository Landscape Since 2012 |
title_full | re3data – Indexing the Global Research Data Repository Landscape Since 2012 |
title_fullStr | re3data – Indexing the Global Research Data Repository Landscape Since 2012 |
title_full_unstemmed | re3data – Indexing the Global Research Data Repository Landscape Since 2012 |
title_short | re3data – Indexing the Global Research Data Repository Landscape Since 2012 |
title_sort | re3data – indexing the global research data repository landscape since 2012 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10465540/ https://www.ncbi.nlm.nih.gov/pubmed/37644024 http://dx.doi.org/10.1038/s41597-023-02462-y |
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