What is Research Data Management?¶
- Defined as the practice of storing, organizing, and maintaining data collected for research purposes
- Research Data Management aims to improve the research efficiency and transparency, and to fulfill the requirements of the university, funders, and legislation.
- Researchers at Radboud University should follow the Radboud University Checklist for Research Data Managment and Radboud University Research Data Managment
- Academic research should adhere to FAIR Principles
The FAIR Acronym¶
Findable - data collections are assigned an ETERNALLY perisistent identifer (DOI), described with rich metadata, and are registered in a searchable resource (i.e. a repository)
Accessible - data collections are retrievable by their identifier, the protocol for access is open and free, and the protocol allows for authentication and authorization when necessary
Interoperable - data collections use appropriate formal shared language and include qualified references to other data collections
Reusable - data collections have accurate and relevant attributes, clear and accesible data usage license, and meet domain-relevant community standards
The workflows developed for researchers at the DCCN are aimed at making research FAIR.