Neuroforum published a special issue on NFDI and research data management in neuroscience.
Guest-edited by Thomas Wachtler, the articels present perspectives on research data management (RDM). Members of the NFDI Neuroscience consortium contributed the following review articles:
- Wachtler et al., NFDI-Neuro: building a community for neuroscience research data management in Germany [link, open access]
How can we tackle the challenges of data management in neuroscience? How can existing solutions be made available more easily? And how can we strengthen expertise and skills in the community? Wachtler et al. present an overview on the NFDI Neuroscience initiative and the proposed approaches to face the above challenges.
- Hanke et al., In defense of decentralized research data management [link, open access]
Hanke et al. underline the importance of tools that are flexible and user-oriented. They advocate decentralized, lightweight solutions to reach the various scientific stakeholders and foster a sustainable, resilient, inclusive, and adaptive data infrastructure.
- Denker et al., Reproducibility and efficiency in handling complex neurophysiological data [link, open access]
Data handling begins in the lab – Denker et al. show with a practical example, based on an electrophysiological study, how an individual lab can approach the challenges arising with preparing and sharing data. In their article, the authors highlight emerging solution as well as conceptual considerations.
- Klingner et al., Research data management in clinical neuroscience: the national research data infrastructure initiative [link]
The availability of research data may enhance translational approaches in clinical neuroscience, as Klingner et al. state in their article. They discuss challenges and possible solutions in this domain with a special regard on existing technological and applicational barriers and the legal and ethical questions emerging from dealing with human subjects.
See the full content of the special issue here.