Senior Data Steward - Research Data Management

Would you like to work on shaping tomorrow's world? Contribute to groundbreaking innovations and developments in technological knowledge? Are you a team player who feels at home in an international and interdisciplinary environment? Then we are looking for you!

Eindhoven University of Technology (TU/e) is an internationally oriented research university, specializing in engineering, science & technology and is known for its large scientific impact and its role in developing technological innovations. TU/e is a university at the center of society and sets its focus on complex social challenges by concentrating its education and research on three Strategic Areas: Energy, Health and Smart Mobility.

An ambitious university requires dedicated support to our scientists within the fields of Research Data Management (RDM) and Open Science. This support is now provided by the Areas Research and Library within LIS (Library and Information Services). Within the Area Research the sections RDM, Data Integrations and HPC closely work together with IT consultants and data stewards to support the research community. Library contributes with the team Open Science Support.

Job description

We are looking for an experienced research data management specialist (Data Steward) with an enterprising and customer-oriented attitude. You will support and guide the team of data stewards, organize the work of the data stewards in the various departments of the TU/e and act as a communicator with stakeholders in the various departments as well as with the other sections in the Area Research. This includes the review and reprioritization of the backlog of the team as part of the preparatory work for iteration. In specific cases, you will support the data stewards in addressing internal and external requirements with regards to RDM, applying FAIR principles to research data, and so contribute to reuse and reproducibility of research.

Next, you will contribute to the further development of RDM, FAIR principles and Open Science within TU/e. This includes developing protocols and guidelines, setup an educational RDM program to raise awareness on RDM and handling privacy-sensitive data, as well as developing efficient strategies to implement RDM, FAIR and Open Science in data platforms. This role will also demand active participation in national initiatives of RDM, FAIR and Open Science.

You will primarily report to the Area Lead Research and closely cooperate with colleagues at the Library.