The Research Center for Materials-Driven Regeneration (MDR) is a partnership between Eindhoven University of Technology, Maastricht University and Utrecht University, University Medical Center Utrecht and the Hubrecht Institute. This consortium was brought together to advance tissue and organ regeneration approaches with the use of instructive biomaterials. The MDR Research Center was awarded a 18.8 M€ grant in May 2017 by the ministry of education, culture and science of The Netherlands in the framework of the
Gravitation program.
The interdisciplinary team of researchers within the MDR consortium aims to focus on the research and development of new, intelligent materials that stimulate the regeneration of damaged or diseased tissues and organs. Three research flagships are defined according to hierarchical levels of increasing length scale and structural complexity.
In order to strengthen our research center, we are looking forward to meet highly motivated and talented people that would like to contribute in the interesting yet complex multidisciplinary area of Materials-Driven Regeneration.
About the positionResponsibilities of a data steward in an academic research environment
- Consider the various ways data sets are created, collected, analysed, visualized and stored in the different disciplines
- Define a data architecture that brings out the best of the collective data sets (or investigate how we can) and is attractive for MDR scientists to use and improve, and that provides handles to faithfully and robustly answer some of the scientific questions of the consortium
- Showcase the added value and power (if any) of data science in this multidisciplinary arena to the scientific community
- Consider/discuss/investigate/question the ethical aspects, the legal aspects, and the intellectual ownership of a complex data set owned by many scientists, across disciplines and universities
- Deal with the logistics (location, costs, access routes, etc) of the MDR data sets
- Develop principles for storing raw data
- Develop guidelines for reproducible data analysis
- Enable and promote the archiving, storage and managing of research data according to academic FAIR (Findability, Accessibility, Interoperability, and Reusability) principles
- Couple data architecture and enabled FAIR principles to the broader university infrastructure applicable for the full BME department