Introduction to Research Data Management for Social Scientists
- Cologne, Unter Sachsenhausen 6-8.
- Learning Objectives
- provide participants with a basic understanding of data management in scientific research (e.g. general rules, tools, role, benefits)
- provide participants with the ability to write and implement data management plans
- illustrate the roles and responsibilities of research staff regarding data management within the larger data lifecycle
- raise awareness about data sharing in the social sciences and ways to enhance participants’ research.
- Training Fee
- Academic/non-profit rate:90 EUR, Student rate: 60 EUR, Commercial rate:180 EUR
- Target Audience1
- Contact E-Mail
- 06 Nov 2013 02:00pm - 08 Nov 2013 01:00pm
Are any of these questions relevant to you?
Ever lost research data?
Do you know if your research data is securely stored and backed-up?
Had troubles with coding and documentation of data?
Are you confident you would be able to understand your data sometime in the future?
Considered sharing your research data to increase the visibility of your work?
Thought, why would anyone be interested in my research data?
What to do with your research data after a project?
Encountered data access and version control problems when working in collaboration?
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.
Social science researchers working with qualitative or quantitative data (principal investigators, researchers who are parts of project teams, individual researchers, researchers working in research data centers, and PhD students).
Participants are expected to be researchers in the social sciences or humanities. A good command of English is required.