Open Science

FAIR

The FAIR data principles are a set of principles that enable reuse of data by humans, and by machines. Data should be made Findable, Accessible, Interoperable and Reusable.

All Radboud University and Radboudumc researchers are obliged to have all research data comply at least with the F (sustainably findable) and the A (proper access management) of the FAIR guidelines (see intranet).

Furthermore, according to the RU doctorate regulations, all PhD candidates should include a description of the research data management in their PhD thesis. The doctorate regulations also indicate that the research data of the PhD thesis should be made available to the manuscript committee, cum laude committee (if applicable) and doctoral Examination Board when requested.

How to make your data FA(IR)?

The Radboudumc Technology Center Data Stewardship supports researchers in the complete research data lifecycle in order to make data FAIR (see intranet). This includes the Planning & Design phase, with support to make a data management plan (DMP), the Collect & Create phase, providing guidance about data sources and recommended data collection tools, the Store & Analyze phase, supporting safe and shareable data access and analysis, and the Archive & Share phase, including publishing and archiving the data after publication of the results. A Standard Operating Procedure (SOP) data management scientific research indicates the requirements for each type of research project (see intranet).

Citizen Science

Citizen Science is the collection and analysis of data relating to the natural world by members of the general public, typically as part of a collaborative project with professional scientists.

Radboudumc already has many examples of Citizen Science. Together with Radboud University, a tool set is being developed to support researchers in setting up citizen science projects.