GESIS Training Courses

Scientific Coordination

Sabina Haveric
Tel: +49 (0221) 47694 - 166

Administrative Coordination

Angelika Ruf
Tel: +49 221 47694-162

Short Course D: Open Access to Research Data. Facing Funders’ Requirements on Making Research Data FAIR

Dr. Anja Perry, Dr. Sebastian Netscher

Date: 01.08 - 02.08.2019 ics-file

Location: Cologne

About the lecturer - Dr. Anja Perry

About the lecturer - Dr. Sebastian Netscher

Course description

Nowadays, more and more funders, like the European Commission, require Open Data of high quality that can be re-used by researchers for replication as well as for new (research) purposes. Hence, data sharing of research data is of increasing importance in quantitative social science research. Of course, transparency and replicability of research data and research findings is considered an integral part of good scientific practice. In addition, data sharing enables others to continue working with the data in their own research projects, for teaching etc. Data sharing thus fosters research and innovations, avoids duplicating already existing data and increases efficiency of public money spent. In the context of Open Access to research data, researchers are prompt not only to share their data in one way or another, but to systematically process so called FAIR data, ensuring that research data can be found, accessed, interoperated and re-used by others. Developed by data professionals and archivists, the FAIR data principles are challenging for many researchers, being in doubt on how to satisfy appropriate requirements by funders. The current short course introduces the FAIR data principles in light of ensuring Open Access to research data. It discusses requirements of Open Access to research data and how the FAIR data principles foster a widespread of high quality data. Based on the definition of the FAIR principles and the discussion on appropriate requirements, the course guides researchers on how to process shareable data that can be re-used by others and how researchers could make such shareable data FAIR.
For a full length syllabus of this course, please click here.


Target group

Participants will find the course useful if they conduct quantitative social science research and want to create Open Data or to gain basic knowledge on how to meet the funders' requirements for Open Science and the FAIR data principles.

Learning objectives

By the end of the course participants will:
  • be familiar with the idea of Open Access to research data and data sharing;
  • know about the idea of FAIR data principles and how to satisfy appropriate requirements in (third-party funded) research projects.


No special requirements are necessary.