Research data management
GESIS - Leibniz-Institute for the Social Sciences
Workshop: Research Data Management
*ATTENTION* Due to the outbreak of Corona Virus restrictions are applied: please read carefully up-to-date information provided by GESIS.The workshop helps researchers to ensure that their research data is usable within the project and can be safely made available to others - both for the purpose of research replication and for reuse in new contexts. Ideally, these tasks are implemented in the research process without major extra efforts for researchers. For this purpose, the workshop focuses on legal issues of data collection and sharing, on basic concepts of data cleaning and data documentation, on the organisation of research data within the research project of as well as on sharing the data beyond the research project of origin.
Reuse of research data becomes increasingly important in social science research. Not only is replicability of research data and research findings considered an integral part of good scientific practice. Nowadays, more and more (inter-)national research funders, such as the European Commission, and journals require an active data management to ensure that data is of high quality and can be used by the researchers themselves as well as reused by other researchers for new research purposes.
The (re)usability of research data hinges on a number of factors, including the way the data is processed but also how relevant legal aspects, such as copyright and data protection, are addressed. Researchers thus have to ensure that no legal barriers to (re)using the data exist and that (re)use of the data is not hindered by messy, sloppily documented data. Both addressing legal issues and generating clean and well-documented research data are prerequisites of (re)usability.
By the end of the course participants will:
- have gained a basic understanding of research data management in social science research within the larger data lifecycle;
- be aware of legal challenges to data usage and data sharing resulting from data protection regulations and intellectual property rights;
- be familiar with techniques of data cleaning and data documentation, as well as preparing their data for (re)use;
- be familiar with applying re-use licenses to their data and share data with others.