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...
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| Published in | Scientific data Vol. 10; no. 1; pp. 470 - 9 |
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| Main Authors | , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
Nature Publishing Group UK
20.07.2023
Nature Publishing Group Nature Portfolio |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2052-4463 2052-4463 |
| DOI | 10.1038/s41597-023-02258-0 |
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| Abstract | 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. |
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| AbstractList | 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. 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.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. Abstract 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. |
| ArticleNumber | 470 |
| Author | Burdett, Tony Alper, Pinar Gu, Wei Satagopam, Venkata Welter, Danielle Ancien, François Rocca-Serra, Philippe Sallam, Nirmeen Grouès, Valentin Asariardakani, Saeideh Sansone, Susanna-Assunta Ghosh, Soumyabrata Shabani, Abetare |
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| Cites_doi | 10.1038/sdata.2016.18 10.1038/ng.3864 10.1016/j.xgen.2021.100028 10.1038/s41597-023-02167-2 10.6084/m9.figshare.1362572.v1 10.1038/s41597-023-02166-3 10.1093/nar/gks1193 10.1038/sdata.2017.59 10.5281/zenodo.291872 10.1038/ng.1054 10.1093/gigascience/giz140 10.1093/database/baab069 |
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| References | CR2 Sansone (CR3) 2017; 4 Ohno-Machado (CR4) 2017; 49 Johnson, Gonzalez-Beltran, Rocca-Serra (CR9) 2017 Sansone (CR8) 2012; 44 Welter (CR10) 2023; 10 CR6 CR7 Barrett (CR11) 2013; 41 CR14 Lawson (CR15) 2021; 1 Rocca-Serra (CR13) 2023; 10 Ohno-Machado (CR5) 2015 CR12 Wilkinson (CR1) 2016; 3 2258_CR12 MD Wilkinson (2258_CR1) 2016; 3 2258_CR14 2258_CR2 D Welter (2258_CR10) 2023; 10 L Ohno-Machado (2258_CR5) 2015 2258_CR7 J Lawson (2258_CR15) 2021; 1 T Barrett (2258_CR11) 2013; 41 2258_CR6 D Johnson (2258_CR9) 2017 S-A Sansone (2258_CR3) 2017; 4 S-A Sansone (2258_CR8) 2012; 44 P Rocca-Serra (2258_CR13) 2023; 10 L Ohno-Machado (2258_CR4) 2017; 49 |
| References_xml | – volume: 3 year: 2016 ident: CR1 article-title: The FAIR Guiding Principles for scientific data management and stewardship publication-title: Sci. Data doi: 10.1038/sdata.2016.18 – volume: 49 start-page: 816 year: 2017 end-page: 819 ident: CR4 article-title: Finding useful data across multiple biomedical data repositories using DataMed publication-title: Nat. Genet. doi: 10.1038/ng.3864 – volume: 1 start-page: 100028 year: 2021 ident: CR15 article-title: The Data Use Ontology to streamline responsible access to human biomedical datasets publication-title: Cell Genomics doi: 10.1016/j.xgen.2021.100028 – volume: 10 year: 2023 ident: CR10 article-title: FAIR in action - a flexible framework to guide FAIRification publication-title: Sci. Data doi: 10.1038/s41597-023-02167-2 – ident: CR14 – ident: CR2 – year: 2015 ident: CR5 publication-title: Figshare doi: 10.6084/m9.figshare.1362572.v1 – volume: 10 year: 2023 ident: CR13 article-title: The FAIR Cookbook - the essential resource for and by FAIR doers publication-title: Sci. Data doi: 10.1038/s41597-023-02166-3 – ident: CR12 – volume: 41 start-page: D991 year: 2013 end-page: D995 ident: CR11 article-title: NCBI GEO: archive for functional genomics data sets—update publication-title: Nucleic Acids Res. doi: 10.1093/nar/gks1193 – ident: CR6 – volume: 4 year: 2017 ident: CR3 article-title: DATS, the data tag suite to enable discoverability of datasets publication-title: Sci. Data doi: 10.1038/sdata.2017.59 – year: 2017 ident: CR9 publication-title: Zenodo doi: 10.5281/zenodo.291872 – ident: CR7 – volume: 44 start-page: 121 year: 2012 end-page: 126 ident: CR8 article-title: Toward interoperable bioscience data publication-title: Nat. Genet. doi: 10.1038/ng.1054 – year: 2015 ident: 2258_CR5 doi: 10.6084/m9.figshare.1362572.v1 – volume: 10 year: 2023 ident: 2258_CR13 publication-title: Sci. Data doi: 10.1038/s41597-023-02166-3 – ident: 2258_CR14 doi: 10.1093/gigascience/giz140 – volume: 4 year: 2017 ident: 2258_CR3 publication-title: Sci. Data doi: 10.1038/sdata.2017.59 – volume: 1 start-page: 100028 year: 2021 ident: 2258_CR15 publication-title: Cell Genomics doi: 10.1016/j.xgen.2021.100028 – year: 2017 ident: 2258_CR9 doi: 10.5281/zenodo.291872 – volume: 10 year: 2023 ident: 2258_CR10 publication-title: Sci. Data doi: 10.1038/s41597-023-02167-2 – volume: 49 start-page: 816 year: 2017 ident: 2258_CR4 publication-title: Nat. Genet. doi: 10.1038/ng.3864 – ident: 2258_CR7 doi: 10.1093/database/baab069 – volume: 44 start-page: 121 year: 2012 ident: 2258_CR8 publication-title: Nat. Genet. doi: 10.1038/ng.1054 – volume: 3 year: 2016 ident: 2258_CR1 publication-title: Sci. Data doi: 10.1038/sdata.2016.18 – ident: 2258_CR6 – volume: 41 start-page: D991 year: 2013 ident: 2258_CR11 publication-title: Nucleic Acids Res. doi: 10.1093/nar/gks1193 – ident: 2258_CR12 – ident: 2258_CR2 |
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| Snippet | The discoverability of datasets resulting from the diverse range of translational and biomedical projects remains sporadic. It is especially difficult for... Abstract The discoverability of datasets resulting from the diverse range of translational and biomedical projects remains sporadic. It is especially difficult... |
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| Title | The Translational Data Catalog - discoverable biomedical datasets |
| URI | https://link.springer.com/article/10.1038/s41597-023-02258-0 https://www.ncbi.nlm.nih.gov/pubmed/37474618 https://www.proquest.com/docview/2840092550 https://www.proquest.com/docview/2841020472 https://pubmed.ncbi.nlm.nih.gov/PMC10359386 https://doaj.org/article/41e299f731bd434a903368f64896d95c |
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