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 Course description “Introduction to Research Data Management for Social
Scientists”
If 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 funding bodies pushing
requirements related to retaining, sharing, and citing research data, journals are also
requiring data underpinning publications be accessible to the research community.
Therefore, you 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 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. Through the course, participants will have the opportunity to work on their own
data management plan with respect to their research projects. Moreover, they will
perform some practical exercises on data documentation using statistical software
packages, such as Stata or SPSS.
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).
Learning objectives
By the end of the course participants will:
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have gained a basic understanding of research data management in social
science research (e.g. general rules, tools, role, benefits);
be able to write and implement a research data management plan;
be familiar with the roles and responsibilities of research staff with respect to
research data management within the larger data lifecycle;
be aware of data re-use in the social sciences and ways to enhance your own
research.
Prerequisites
Participants should have basic knowledge of empirical research methods.