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.