WUR has a policy in place on how to handle research data throughout the research cycle. The research data policy has a focus on keeping research data safe and accessible, both during and after research. The WUR data policy applies to employees with a WUR contract, but does not apply to students unless specific agreements have been made between students and their supervisors.
The definition of research data
The term ‘research data’ is not a legal concept. For the purpose of WUR's research data policy, research data refers to the recorded factual material commonly accepted in the scientific community as necessary to validate research findings. Data is defined as “a set of values of qualitative or quantitative variables that can be measured, collected and reported, and analyzed” (from glossary LCRDM). This may include a wide variety of information, such as video/audio material, code, numbers, and facts. WUR's research data policy applies to research data only and not to administrative (= not research-related) data. Research data can form part of a patent application, a copyrighted work or a database for which a database right applies.
What the data policy is based on
The policy is based on leading principles in the area of research data stewardship, such as the FAIR principles, and on national frameworks such as the Netherlands Code of Conduct for Research Integrity. Best practices from Wageningen chair groups or research groups set examples on which the policy could be build. The regulations differ slightly between the four confidentiality levels used by WUR.
WUR’s data policy: Data Management Plans, storage, archiving and registration
WUR’s research data policy lists storage solutions that can be used during research to keep data safe from loss and corruption whilst accessible to certain (groups of) people. The policy also requires the archiving of data sets underlying publications in order to facilitate verification, replications and continuity of research. Registration of the data sets in WUR’s research output system (Pure) is the final requirement, meant to connect data to publications. As planning helps to meet these guidelines and to establish good data management practices in general, good data stewardship at WUR starts off with a Data Management Plan (for PhD candidates, chair groups and WR teams or projects). For a brief overview of the policy click here.
Read more about the regulations:
- Data Management Plans
- Data storage during research
- Data archiving after research
- Registering archived datasets
- Data ownership
- Data Sharing Guidelines