Research Data Management (RDM) is an increasingly important topic for Data Science researchers, both driven by requirements of funding agencies as well as changing legal requirements. RDM is important in the proposal phase, during execution of the project and after the project has finished. Several support staff functions are active in this domain, yet many researchers do not know well enough where and how to get help. Simultaneously some researchers bump into practical issues in their very specific projects that general guidelines do not sufficiently help for.

Data Science Center Eindhoven, together with the CIO office and Information Expertise Center (IEC), is organizing a series of monthly RDM lectures around lunchtime. We organize this series with the goal to increase awareness, share tips & best practices, learn from each other, make use of existing support and improve this where needed. Internal and external experts will provide the talks.

We started the series on Monday 28 January with Prof. Aarnout Brombacher talking about the complexity of research on humans and their behavior ’in the open’ (= a non-clinical environment). Especially with the new GDPR (‘AVG’) legislation this is getting more and more challenging. New methods and ways of working are being investigated. We are still working hard on finalizing the series. Upcoming RDM lectures are added to the TU/e calendar regularly. Over the course of the year, we will cover all project phases, several challenges and requirements and explain the support of various groups (see figure below).

This series is aimed at scientific + support staff, but open to all. Attendance is free of charge, however registration is required. If you have any ideas or suggestions for topics or speakers, don’t hesitate to contact us (dsce@remove-this.tue.nl).

Check our calendar for the next RDM lectures