Research Data Management (RDM)

What is research data management?

Proper handling of research data is an essential part of the research process. This is important, not only from the viewpoint of research organisation and collaboration, but also from the viewpoint of scientific integrity (transparency of methodology, reproducibility, verifiability and reuse). 

The objective of research data management is to make research data findable, accessible and understandable now and in the future. Therefore research data management concerns the planning, collecting, organising, documenting, storing, safeguarding, processing, analysing, archiving, disseminating and reuse of research data. Background information about the why of data management can be found here (in Dutch).

Policy

Since September 2016 Ghent University adopted a policy for research data management. This general framework serves as a guideline for managing research data and determines the principles, objectives and responsibilities. Given the large differences between and within the different scientific domains, all faculties are given the mandate to take local initiatives. Therefore, we developed guidelines within the FPPW to encourage and assist researchers with carefully managing research data in accordance with the general policy framework.

Data management tools

Since January, 1st of 2015 the faculty supports its researchers with regard to two topics. First, support is provided to make a data management plan and second, there is support for documenting the research data in the so called data storage fact sheet. For more information follow the links below

Guidance

Questions?

For all your questions with regard to research data management please contact Jan Lammertyn.

More information can also be found in the slides presented during the information sessions and the workshop on research data management: