Using Ontologies to Make Research Data FAIR

Overview
Making the most impact with your research, it helps if you had your research data management (RDM) in place. Within the context of the RDM you work on making data more FAIR and perhaps even open, following the requirements from the European Commission. But RDM, FAIR, and Open are not simple checkboxes to cross off. Maastricht University is a NanoCommons partner that has a long history in making data interoperable, open or not. It is and has been involved in many FAIR projects in the life sciences fields, and, in fact, author of the FAIR standard. In this TA we will work on making your data (academia, industry), or published data by others (regulators), more findable, more accessible (which does not imply Open!), more interoperable (allowing others to combine it easier with other data), and more reusable (resulting in more impact of and more citations to your work). We will tune every aspect towards maximising the (commercial) impact of your research. A broad range of solutions is available and in collaboration you will pick those most beneficial to your RDM.
Further information
- Provided by: Maastricht University
- Type: Ontologies
- Applicability domain: Engineered Nanomaterials, Environmental Safety, Nanomedicine, Nanosafety
- Topic: Data management
- Contact: Egon Willighagen
- For researchers
- For industry
- For regulators