Data Management Basics

Researchers generate large amounts of digital data with their work. Systematically managing these data, making them accessible and usable in the long term, is an increasingly challenging task. The aim is therefore to carefully organize, describe, store and archive data (research data management). This has numerous advantages for both institutions and researchers:

Advantages of Data Management for Insitutions

Preparation for new requirements in the context of Open Data / Open Science

Promotion of collaborations and strengthening of connectivity to international initiatives and infrastructures through compliance with standards (example: CLARIN linguist network)

Improving the findability of research results

Ensuring data protection and legal certainty

Advantages of Data Management for Researchers

Increase of work efficiency over the entire project duration (ensure retrievability, avoid data loss)

Avoidance of risks in copyright issues (no transfer of rights to commercial platforms, adequate licensing)

Enabling re-use and increasing the citation frequency of research results

Improving the chance of receiving third-party funding (e.g. data management plan for SNF applications or EU applications)