GESIS Training Courses
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Scientific Coordination

Administrative Coordination

Loretta Langendörfer M.A.
Tel: +49 221 47694-143

Introduction to Research Data Management for Social Scientists

Lecturer(s):
Jessica Trixa

Date: 25.03 - 26.03.2015 ics-file

Location: Cologne

About the lecturer - Jessica Trixa

Course description

Are any of these questions relevant to you?
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Ever lost research data?
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Do you know if your research data is securely stored and backed-up?
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Had troubles with coding and documentation of data?
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Are you confident you would be able to understand your data sometime in the future?
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Considered sharing your research data to increase the visibility of your work?
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Thought, why would anyone be interested in my research data?
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What to do with your research data after a project?
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Encountered data access and version control problems when working in collaboration?
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Need arguments to persuade your institution about the necessity of research data management?

If so, this workshop will be useful. Designed to address the needs of social science researchers, it discusses ways to maintain the security and integrity of research data.

Research data management is about looking after your data. It concerns the development and implementation of practices, procedures, and policies to protect, validate, and describe data. Doing this ensures its quality thereby facilitating potential re-use.

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, 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. All of which should provide sound advice on writing a data management plan.

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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