Plan data management

Data management concerns the description and making sure that all activities related to research data that occur along the data lifecycle are carried out in accordance with the goals and purposes of the research, and any external requirements are met.

What is data management?

Data management is the term used to describe all activities related to research data that occur along the data lifecycle. The data management activities range from data collection in the research project to data processing (especially evaluations) to the archiving of research data, as is done, for example, by a data archive.

The purpose of data management

Data management planning is about determining these activities in a way that is as goal-oriented, systematic and efficient as possible. A timely and comprehensive planning is helpful to avoid restrictions to the later use of data.

Such data management planning serves

• an efficient, legally secure and quality-oriented use of the data in the data-generating research projects themselves
• the replicability or transparency and traceability of the research results based on these data and good scientific practice;
• the sustainability of research data and the preservation of cultural heritage.

How? – Data management plans

A helpful tool for planning are so-called data management plans (DMP). These DMP are checklists relating to the different issues of data management to be considered, such as the law and data documentation.

What helps you with your data management?

• Using Stamp – the Standardised Data Management Plan for educational researchg (only available in German)
• Submitting an application (only available in German)
• Planning resources (only available in German)