The challenges of research data management in cardiovascular science: a DGK and DZHK position paper : executive summary
The sharing and documentation of cardiovascular research data are essential for efficient use and reuse of data, thereby aiding scientific transparency, accelerating the progress of cardiovascular research and healthcare, and contributing to the reproducibility of research results. However, challeng...
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
17 October 2023
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| In: |
Clinical research in cardiology
Year: 2024, Jahrgang: 113, Heft: 5, Pages: 672-679 |
| ISSN: | 1861-0692 |
| DOI: | 10.1007/s00392-023-02303-3 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00392-023-02303-3 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00392-023-02303-3 
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| Verfasserangaben: | Sabine Steffens, Katrin Schröder, Martina Krüger, Christoph Maack, Katrin Streckfuss-Bömeke, Johannes Backs, Rolf Backofen, Bettina Baeßler, Yvan Devaux, Ralf Gilsbach, Jordi Heijman, Jochen Knaus, Rafael Kramann, Dominik Linz, Allyson L. Lister, Henrike Maatz, Lars Maegdefessel, Manuel Mayr, Benjamin Meder, Sara Y. Nussbeck, Eva A. Rog-Zielinska, Marcel H. Schulz, Albert Sickmann, Gökhan Yigit, Peter Kohl |
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| 520 | |a The sharing and documentation of cardiovascular research data are essential for efficient use and reuse of data, thereby aiding scientific transparency, accelerating the progress of cardiovascular research and healthcare, and contributing to the reproducibility of research results. However, challenges remain. This position paper, written on behalf of and approved by the German Cardiac Society and German Centre for Cardiovascular Research, summarizes our current understanding of the challenges in cardiovascular research data management (RDM). These challenges include lack of time, awareness, incentives, and funding for implementing effective RDM; lack of standardization in RDM processes; a need to better identify meaningful and actionable data among the increasing volume and complexity of data being acquired; and a lack of understanding of the legal aspects of data sharing. While several tools exist to increase the degree to which data are findable, accessible, interoperable, and reusable (FAIR), more work is needed to lower the threshold for effective RDM not just in cardiovascular research but in all biomedical research, with data sharing and reuse being factored in at every stage of the scientific process. A culture of open science with FAIR research data should be fostered through education and training of early-career and established research professionals. Ultimately, FAIR RDM requires permanent, long-term effort at all levels. If outcomes can be shown to be superior and to promote better (and better value) science, modern RDM will make a positive difference to cardiovascular science and practice. The full position paper is available in the supplementary materials. | ||
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| 650 | 4 | |a Research data management | |
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