Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations]
Background: Data management is fast becoming an essential part of scientific practice, driven by open science and FAIR (findable, accessible, interoperable, and reusable) data sharing requirements. Whilst data management plans (DMPs) are clear to data management experts and data stewards, understand...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2023-06-01
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| Series: | Open Research Europe |
| Subjects: | |
| Online Access: | https://open-research-europe.ec.europa.eu/articles/3-97/v1 |
| _version_ | 1797744403019726848 |
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| author | R. Anahí Higuera-Rodriguez Jose Gavaldá-García Joel Roca Martínez Anna Kravchenko Anna Pérez-Ràfols Niki Messini Luca Sperotto Guillermo Pérez Ropero Wim Vranken Isaure Chauvot de Beauchêne Malika Smaïl-Tabbone Marie-Dominique Devignes Roswitha Dolcemascolo Hrishikesh Dhondge |
| author_facet | R. Anahí Higuera-Rodriguez Jose Gavaldá-García Joel Roca Martínez Anna Kravchenko Anna Pérez-Ràfols Niki Messini Luca Sperotto Guillermo Pérez Ropero Wim Vranken Isaure Chauvot de Beauchêne Malika Smaïl-Tabbone Marie-Dominique Devignes Roswitha Dolcemascolo Hrishikesh Dhondge |
| author_sort | R. Anahí Higuera-Rodriguez |
| collection | DOAJ |
| description | Background: Data management is fast becoming an essential part of scientific practice, driven by open science and FAIR (findable, accessible, interoperable, and reusable) data sharing requirements. Whilst data management plans (DMPs) are clear to data management experts and data stewards, understandings of their purpose and creation are often obscure to the producers of the data, which in academic environments are often PhD students. Methods: Within the RNAct EU Horizon 2020 ITN project, we engaged the 10 RNAct early-stage researchers (ESRs) in a training project aimed at formulating a DMP. To do so, we used the Data Stewardship Wizard (DSW) framework and modified the existing Life Sciences Knowledge Model into a simplified version aimed at training young scientists, with computational or experimental backgrounds, in core data management principles. We collected feedback from the ESRs during this exercise. Results: Here, we introduce our new life-sciences training DMP template for young scientists. We report and discuss our experiences as principal investigators (PIs) and ESRs during this project and address the typical difficulties that are encountered in developing and understanding a DMP. Conclusions: We found that the DS-wizard can also be an appropriate tool for DMP training, to get terminology and concepts across to researchers. A full training in addition requires an upstream step to present basic DMP concepts and a downstream step to publish a dataset in a (public) repository. Overall, the DS-Wizard tool was essential for our DMP training and we hope our efforts can be used in other projects. |
| first_indexed | 2024-03-12T15:09:18Z |
| format | Article |
| id | doaj.art-73eea1d6b306467e96567818d77c5b5c |
| institution | Directory Open Access Journal |
| issn | 2732-5121 |
| language | English |
| last_indexed | 2024-03-12T15:09:18Z |
| publishDate | 2023-06-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | Open Research Europe |
| spelling | doaj.art-73eea1d6b306467e96567818d77c5b5c2023-08-12T00:00:00ZengF1000 Research LtdOpen Research Europe2732-51212023-06-01316870Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations]R. Anahí Higuera-Rodriguez0https://orcid.org/0000-0002-4170-8799Jose Gavaldá-García1https://orcid.org/0000-0001-6431-3442Joel Roca Martínez2Anna Kravchenko3https://orcid.org/0000-0002-2332-4206Anna Pérez-Ràfols4https://orcid.org/0000-0001-7492-2583Niki Messini5Luca Sperotto6Guillermo Pérez Ropero7https://orcid.org/0000-0001-7595-4851Wim Vranken8https://orcid.org/0000-0001-7470-4324Isaure Chauvot de Beauchêne9Malika Smaïl-Tabbone10https://orcid.org/0000-0002-8119-2117Marie-Dominique Devignes11https://orcid.org/0000-0002-0399-8713Roswitha Dolcemascolo12Hrishikesh Dhondge13https://orcid.org/0000-0002-7025-2241Dynamic Biosensors GmbH, Munich, 81379, GermanyInteruniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels, 1050, BelgiumInteruniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels, 1050, BelgiumUniversité de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, FranceGiotto Biotech s.r.l,, Florence, 50019, ItalyDepartment of Bioscience, School of Natural Sciences, Technical University of Munich, Garching, 85748, GermanyDepartment of Bioscience, School of Natural Sciences, Technical University of Munich, Garching, 85748, GermanyRidgeview Instruments AB, Uppsala, 75237, SwedenInteruniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels, 1050, BelgiumUniversité de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, FranceUniversité de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, FranceUniversité de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, FranceInstitute for Integrative Systems Biology (I2SysBio), CSIC - University of Valencia, Paterna, 46980, SpainUniversité de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, FranceBackground: Data management is fast becoming an essential part of scientific practice, driven by open science and FAIR (findable, accessible, interoperable, and reusable) data sharing requirements. Whilst data management plans (DMPs) are clear to data management experts and data stewards, understandings of their purpose and creation are often obscure to the producers of the data, which in academic environments are often PhD students. Methods: Within the RNAct EU Horizon 2020 ITN project, we engaged the 10 RNAct early-stage researchers (ESRs) in a training project aimed at formulating a DMP. To do so, we used the Data Stewardship Wizard (DSW) framework and modified the existing Life Sciences Knowledge Model into a simplified version aimed at training young scientists, with computational or experimental backgrounds, in core data management principles. We collected feedback from the ESRs during this exercise. Results: Here, we introduce our new life-sciences training DMP template for young scientists. We report and discuss our experiences as principal investigators (PIs) and ESRs during this project and address the typical difficulties that are encountered in developing and understanding a DMP. Conclusions: We found that the DS-wizard can also be an appropriate tool for DMP training, to get terminology and concepts across to researchers. A full training in addition requires an upstream step to present basic DMP concepts and a downstream step to publish a dataset in a (public) repository. Overall, the DS-Wizard tool was essential for our DMP training and we hope our efforts can be used in other projects.https://open-research-europe.ec.europa.eu/articles/3-97/v1Data Management Plan metadata student training FAIR principles open science structural bioinformaticseng |
| spellingShingle | R. Anahí Higuera-Rodriguez Jose Gavaldá-García Joel Roca Martínez Anna Kravchenko Anna Pérez-Ràfols Niki Messini Luca Sperotto Guillermo Pérez Ropero Wim Vranken Isaure Chauvot de Beauchêne Malika Smaïl-Tabbone Marie-Dominique Devignes Roswitha Dolcemascolo Hrishikesh Dhondge Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations] Open Research Europe Data Management Plan metadata student training FAIR principles open science structural bioinformatics eng |
| title | Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations] |
| title_full | Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations] |
| title_fullStr | Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations] |
| title_full_unstemmed | Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations] |
| title_short | Experiences with a training DSW knowledge model for early-stage researchers [version 1; peer review: 1 approved, 2 approved with reservations] |
| title_sort | experiences with a training dsw knowledge model for early stage researchers version 1 peer review 1 approved 2 approved with reservations |
| topic | Data Management Plan metadata student training FAIR principles open science structural bioinformatics eng |
| url | https://open-research-europe.ec.europa.eu/articles/3-97/v1 |
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