Affording reusable data: recommendations for researchers from a data-intensive project
Scientists are increasingly required by funding agencies, publishers and their institutions to produce and publish data that are Findable, Accessible, Interoperable and Reusable (FAIR). This requires curatorial activities, which are expensive in terms of both time and effort. Based on our experience...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04565-0 |
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| _version_ | 1850067030608183296 |
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| author | Gorka Fraga-González Hester van de Wiel Francesco Garassino Willy Kuo Diane de Zélicourt Vartan Kurtcuoglu Leonhard Held Eva Furrer |
| author_facet | Gorka Fraga-González Hester van de Wiel Francesco Garassino Willy Kuo Diane de Zélicourt Vartan Kurtcuoglu Leonhard Held Eva Furrer |
| author_sort | Gorka Fraga-González |
| collection | DOAJ |
| description | Scientists are increasingly required by funding agencies, publishers and their institutions to produce and publish data that are Findable, Accessible, Interoperable and Reusable (FAIR). This requires curatorial activities, which are expensive in terms of both time and effort. Based on our experience of supporting a multidisciplinary research team, we provide recommendations to direct the efforts of researchers towards affordable ways to achieve a reasonable degree of “FAIRness” for their data to become reusable upon its publication. The recommendations are accompanied by concrete insights on the challenges faced when trying to implement them in an actual data-intensive reference project. |
| format | Article |
| id | doaj-art-fb33d5b75150413c84e6a152f55203fc |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-fb33d5b75150413c84e6a152f55203fc2025-08-20T02:48:30ZengNature PortfolioScientific Data2052-44632025-02-0112111010.1038/s41597-025-04565-0Affording reusable data: recommendations for researchers from a data-intensive projectGorka Fraga-González0Hester van de Wiel1Francesco Garassino2Willy Kuo3Diane de Zélicourt4Vartan Kurtcuoglu5Leonhard Held6Eva Furrer7Epidemiology, Biostatistics and Prevention Institute (EBPI) and Center for Reproducible Science (CRS), University of ZurichEpidemiology, Biostatistics and Prevention Institute (EBPI) and Center for Reproducible Science (CRS), University of ZurichEpidemiology, Biostatistics and Prevention Institute (EBPI) and Center for Reproducible Science (CRS), University of ZurichThe Interface Group, Institute of Physiology, University of ZurichThe Interface Group, Institute of Physiology, University of ZurichThe Interface Group, Institute of Physiology, University of ZurichEpidemiology, Biostatistics and Prevention Institute (EBPI) and Center for Reproducible Science (CRS), University of ZurichEpidemiology, Biostatistics and Prevention Institute (EBPI) and Center for Reproducible Science (CRS), University of ZurichScientists are increasingly required by funding agencies, publishers and their institutions to produce and publish data that are Findable, Accessible, Interoperable and Reusable (FAIR). This requires curatorial activities, which are expensive in terms of both time and effort. Based on our experience of supporting a multidisciplinary research team, we provide recommendations to direct the efforts of researchers towards affordable ways to achieve a reasonable degree of “FAIRness” for their data to become reusable upon its publication. The recommendations are accompanied by concrete insights on the challenges faced when trying to implement them in an actual data-intensive reference project.https://doi.org/10.1038/s41597-025-04565-0 |
| spellingShingle | Gorka Fraga-González Hester van de Wiel Francesco Garassino Willy Kuo Diane de Zélicourt Vartan Kurtcuoglu Leonhard Held Eva Furrer Affording reusable data: recommendations for researchers from a data-intensive project Scientific Data |
| title | Affording reusable data: recommendations for researchers from a data-intensive project |
| title_full | Affording reusable data: recommendations for researchers from a data-intensive project |
| title_fullStr | Affording reusable data: recommendations for researchers from a data-intensive project |
| title_full_unstemmed | Affording reusable data: recommendations for researchers from a data-intensive project |
| title_short | Affording reusable data: recommendations for researchers from a data-intensive project |
| title_sort | affording reusable data recommendations for researchers from a data intensive project |
| url | https://doi.org/10.1038/s41597-025-04565-0 |
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