![[feed]](/style/images/feed-icon-14x14.png){kind=icon}
|
PDF (Original Article)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1MB | |
![[img]](http://edoc.mdc-berlin.de/style/images/fileicons/other.png) |
Other (Supporting Information)
230kB |
| Item Type: | Review |
|---|---|
| Title: | The challenges of research data management in cardiovascular science: a DGK and DZHK position paper-executive summary |
| Creators Name: | Steffens, S. and Schröder, K. and Krüger, M. and Maack, C. and Streckfuss-Bömeke, K. and Backs, J. and Backofen, R. and Baeßler, B. and Devaux, Y. and Gilsbach, R. and Heijman, J. and Knaus, J. and Kramann, R. and Linz, D. and Lister, A.L. and Maatz, H. and Maegdefessel, L. and Mayr, M. and Meder, B. and Nussbeck, S.Y. and Rog-Zielinska, E.A. and Schulz, M.H. and Sickmann, A. and Yigit, G. and Kohl, P. |
| Abstract: | 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. |
| Keywords: | Research Data Management, FAIR Data, Metadata, Cardiac Research, Cardiology |
| Source: | Clinical Research in Cardiology |
| ISSN: | 1861-0684 |
| Publisher: | Springer |
| Volume: | 113 |
| Number: | 5 |
| Page Range: | 672-679 |
| Date: | May 2024 |
| Official Publication: | https://doi.org/10.1007/s00392-023-02303-3 |
| PubMed: | View item in PubMed |
Repository Staff Only: item control page
Download Statistics
Download Statistics
