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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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