What is Open Science
We endorse Open Science; the global transition towards a new, more open and inclusive way of conducting, publishing and evaluating scientific research. Central to this concept is the goal of increasing cooperation and transparency in all research stages. This is achieved, among other ways, by sharing research data, publications, software, tools and results as early and open as possible.
Multiple topics are identified in the Open Science transition:
- Open Access
- Citizen Science
Open Access of publications provides direct, free and online access to scientific publications without copyright restrictions of publishers. Open Access significantly increases the visibility of a publication.
Radboudumc endorses the principles of Open Access and monitors the percentage of articles that are published Open Access.
The Radboud University Library supports Radboudumc researchers in publishing their research articles Open Access, including excellent financial deals with scientific journals and making the publication available free of charge via the Radboud Repository. Visit the website of the Radboud University for all available support.
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).