Experiences with a training DSW knowledge model for early-stage researchers.

Autor:	Devignes MD; Université de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, France., Smaïl-Tabbone M; Université de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, France., Dhondge H; Université de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, France., Dolcemascolo R; Institute for Integrative Systems Biology (I2SysBio), CSIC - University of Valencia, Paterna, 46980, Spain.; Department of Biotechnology, Polytechnic University of Valencia, Valencia, 46022, Spain., Gavaldá-García J; Interuniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels, 1050, Belgium.; Structural Biology Brussels, Vrije Universiteit Brussel, Brussels, 1050, Belgium., Higuera-Rodriguez RA; Dynamic Biosensors GmbH, Munich, 81379, Germany.; Department of Physics, School of Natural Sciences, Technical University of Munich, Garching, 85748, Germany., Kravchenko A; Université de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, France., Roca Martínez J; Interuniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels, 1050, Belgium.; Structural Biology Brussels, Vrije Universiteit Brussel, Brussels, 1050, Belgium., Messini N; Department of Bioscience, School of Natural Sciences, Technical University of Munich, Garching, 85748, Germany., Pérez-Ràfols A; Giotto Biotech s.r.l,, Florence, 50019, Italy.; Magnetic Resonance Center (CERM), Department of Chemistry 'Ugo Schiff', University of Florence, Florence, 50019, Italy., Pérez Ropero G; Department of Chemistry-BMC, Uppsala University, Uppsala, 75123, Sweden.; Ridgeview Instruments AB, Uppsala, 75237, Sweden., Sperotto L; Department of Bioscience, School of Natural Sciences, Technical University of Munich, Garching, 85748, Germany., Chauvot de Beauchêne I; Université de Lorraine, CNRS, Inria, LORIA, Nancy, F-5400, France., Vranken W; Interuniversity Institute of Bioinformatics in Brussels, VUB/ULB, Brussels, 1050, Belgium.; Structural Biology Brussels, Vrije Universiteit Brussel, Brussels, 1050, Belgium.
Jazyk:	angličtina
Zdroj:	Open research Europe [Open Res Eur] 2023 Jun 19; Vol. 3, pp. 97. Date of Electronic Publication: 2023 Jun 19 (Print Publication: 2023).
DOI:	10.12688/openreseurope.15609.1
Abstrakt:	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. Competing Interests: No competing interests were disclosed. (Copyright: © 2023 Devignes MD et al.)
Databáze:	MEDLINE
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