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The Translational Data Catalog - discoverable biomedical datasets
The discoverability of datasets resulting from the diverse range of translational and biomedical projects remains sporadic. It is especially difficult for datasets emerging from pre-competitive projects, often due to the legal constraints of data-sharing agreements, and the different priorities of t...
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/PMC10359386/ https://www.ncbi.nlm.nih.gov/pubmed/37474618 http://dx.doi.org/10.1038/s41597-023-02258-0 |
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author | Welter, Danielle Rocca-Serra, Philippe Grouès, Valentin Sallam, Nirmeen Ancien, François Shabani, Abetare Asariardakani, Saeideh Alper, Pinar Ghosh, Soumyabrata Burdett, Tony Sansone, Susanna-Assunta Gu, Wei Satagopam, Venkata |
author_facet | Welter, Danielle Rocca-Serra, Philippe Grouès, Valentin Sallam, Nirmeen Ancien, François Shabani, Abetare Asariardakani, Saeideh Alper, Pinar Ghosh, Soumyabrata Burdett, Tony Sansone, Susanna-Assunta Gu, Wei Satagopam, Venkata |
author_sort | Welter, Danielle |
collection | PubMed |
description | The discoverability of datasets resulting from the diverse range of translational and biomedical projects remains sporadic. It is especially difficult for datasets emerging from pre-competitive projects, often due to the legal constraints of data-sharing agreements, and the different priorities of the private and public sectors. The Translational Data Catalog is a single discovery point for the projects and datasets produced by a number of major research programmes funded by the European Commission. Funded by and rooted in a number of these European private-public partnership projects, the Data Catalog is built on FAIR-enabling community standards, and its mission is to ensure that datasets are findable and accessible by machines. Here we present its creation, content, value and adoption, as well as the next steps for sustainability within the ELIXIR ecosystem. |
format | Online Article Text |
id | pubmed-10359386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103593862023-07-22 The Translational Data Catalog - discoverable biomedical datasets Welter, Danielle Rocca-Serra, Philippe Grouès, Valentin Sallam, Nirmeen Ancien, François Shabani, Abetare Asariardakani, Saeideh Alper, Pinar Ghosh, Soumyabrata Burdett, Tony Sansone, Susanna-Assunta Gu, Wei Satagopam, Venkata Sci Data Article The discoverability of datasets resulting from the diverse range of translational and biomedical projects remains sporadic. It is especially difficult for datasets emerging from pre-competitive projects, often due to the legal constraints of data-sharing agreements, and the different priorities of the private and public sectors. The Translational Data Catalog is a single discovery point for the projects and datasets produced by a number of major research programmes funded by the European Commission. Funded by and rooted in a number of these European private-public partnership projects, the Data Catalog is built on FAIR-enabling community standards, and its mission is to ensure that datasets are findable and accessible by machines. Here we present its creation, content, value and adoption, as well as the next steps for sustainability within the ELIXIR ecosystem. Nature Publishing Group UK 2023-07-20 /pmc/articles/PMC10359386/ /pubmed/37474618 http://dx.doi.org/10.1038/s41597-023-02258-0 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Welter, Danielle Rocca-Serra, Philippe Grouès, Valentin Sallam, Nirmeen Ancien, François Shabani, Abetare Asariardakani, Saeideh Alper, Pinar Ghosh, Soumyabrata Burdett, Tony Sansone, Susanna-Assunta Gu, Wei Satagopam, Venkata The Translational Data Catalog - discoverable biomedical datasets |
title | The Translational Data Catalog - discoverable biomedical datasets |
title_full | The Translational Data Catalog - discoverable biomedical datasets |
title_fullStr | The Translational Data Catalog - discoverable biomedical datasets |
title_full_unstemmed | The Translational Data Catalog - discoverable biomedical datasets |
title_short | The Translational Data Catalog - discoverable biomedical datasets |
title_sort | translational data catalog - discoverable biomedical datasets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10359386/ https://www.ncbi.nlm.nih.gov/pubmed/37474618 http://dx.doi.org/10.1038/s41597-023-02258-0 |
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