Introduction to Research Data Management for Social Scientists

Start: March 20, 2013
End: March 22, 2013
Place: Cologne, Germany
Organizer: GESIS (German Microdata Lab)
Target groups

Social science researchers working with qualitative or quantitative data (principal Investigators, researchers who are parts of project teams, individual researchers, and PhD students).

Good research data management practice minimizes the risk of data loss, ensures research integrity and facilitates replication; it enhances data security, research efficiency and reliability, and over the long-term, saves time and resources. Moreover, data management planning and data re-use is increasingly a requirement of funding organizations.

Workshop sessions include a basic conception of data management, advice on writing a data management plan, licensing data for reuse or to reuse, consent and ethics for data reuse, file formats, documentation and metadata, data storage, back-up and security, data management in collaborative research, and archiving your data.

The workshop promotes an interactive hands-on approach to looking after your research data and encourages discussion amongst participants on sharing problems and experiences.
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