| xyzrins:publications/2d7aabae-01e5-4268-a28d-79cd8804be9d |
xyzrins:publications/2d7aabae-01e5-4268-a28d-79cd8804be9d |
10.1515/nf-2020-0036 |
2021-01-12 |
NFDI-Neuro: Building a community for neuroscience research data management in Germany |
Increasing complexity and volume of research data pose increasing challenges for scientists to manage their data efficiently. At the same time, availability and reuse of research data are becoming more and more important in modern science. The German government has established an initiative to develop research data management (RDM) and to increase accessibility and reusability of research data at the national level, the Nationale Forschungsdateninfrastruktur (NFDI). The NFDI Neuroscience (NFDI-Neuro) consortium aims to represent the neuroscience community in this initiative. Here, we review the needs and challenges in RDM faced by researchers as well as existing and emerging solutions and benefits, and how the NFDI in general and NFDI-Neuro specifically can support a process for making these solutions better available to researchers. To ensure development of sustainable research data management practices, both technical solutions and engagement of the scientific community are essential. NFDI-Neuro is therefore focusing on community building just as much as on improving the accessibility of technical solutions. |
bibo:AcademicArticle |
| pid |
given_name |
family_name |
| xyzrins:persons/michael-hanke |
Michael |
Hanke |
|
|
| pid |
display_label |
| xyzrins:topics/research-data-management |
Research data management (RDM) |
|
| pid |
display_label |
| xyzrins:topics/standards |
Standards |
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