Germany, Cologne

Introduction to Research Data Management

when 4 August 2016 - 5 August 2016
language English
duration 1 week
fee EUR 100

f you use or create data you need to take research data management seriously. Data itself is now seen as an asset in its own right. Not only are funders pushing requirements related to retaining, sharing, and citing research data, there is also an increasing number of journals that require authors to make their data accessible to the research community. Therefore, researchers need to be aware of how to look after data from the planning stages of research, through the lifecycle of a project, and beyond.
Taught by the CESSDA Training team at GESIS, this introductory course covers the critical areas related to research data management: licensing and intellectual property, metadata and contextual description, obtaining informed consent for participation in research, anonymising research data for reuse, data storage, and data archiving. Teaching is delivered through a combination of presentations, exercises, discussions, and group work.
You can find the full syllabus of the course with complete information on the topics, literature, and day-to-day schedule on

Course leader

Dr. Sebastian Netscher and Dr. Jonas Recker, GESIS-Leibniz Institute for the Social Sciences, Producer Relations and Outreach Team, Cologne, Germany.

Target group

Participants will find the course useful if they are social science researchers working with quantitative or qualitative data (principal Investigators, researchers who are parts of project teams, individual researchers, and PhD students).

Basic knowledge of empirical research methods.

Course aim

By the end of the course participants will:
- have gained a basic understanding of research data management in social science research (e.g. general rules, role, benefits);
- be familiar with data management plans and their role in research data management;
- be familiar with the roles and responsibilities of research staff with respect to research data management within the larger data lifecycle;
- be aware of the why and how of data sharing and reuse in the social sciences.

Fee info

EUR 100: Student/PhD student rate.
EUR 140: Academic/non-profit rate.
The rates include the tuition fee, course materials, access to library and IT facilities and coffee/tea.