Manage data

Research data management should not begin only when the collected data are available. Ideally, the creation of data is preceded by conceptual considerations about how to deal with them in the future. A research data lifecycle provides helpful orientation:

Research data management follows comparable questions across disciplines, although the answers can vary greatly. At the beginning, for example, there should be questions about the appropriate format/standard , about financial and human resources for data maintenance, about responsibility for and about intellectual property in the data to be created. Appropriate questions can be asked about all phases of the life cycle (see also " Guide and Checklist for Research Data Management" by Wissgrid [available only in German; PDF].

A planned approach to data is also the background to the data management plans already required by many funders, which should help to systematically clarify such issues in advance (plan data).