Research data management

"The term research data management refers to structured measures in the context of working with research data that aim, among other things, to make data usable or reusable in the long term, regardless of the persons involved in collecting it, and thus to increase the efficiency of research (e.g. in the context of a working group's research, but also with a view to global scientific progress). Another goal is to implement legal requirements and ethical good practices when handling sensitive data, such as personal data. Research data management includes not only the publication of data(open data), but also measures along the preceding steps of the entire data life cycle as well as data archiving and subsequent use."

_{Source: Editorial team of forschungsdaten.info. "Glossary". forschungsdaten.info, February 05, 2026. forschungsdaten.info/praxis-kompakt/glossar/.}

"Research data are digital or analog data that are created, developed or evaluated during scientific work (e.g. through measurements, surveys, source work) or are based on these. It forms the basis of scientific work and documents its results. What exactly falls under the term research data varies from discipline to discipline."

_{Source: Editorial team of forschungsdaten.info. "Glossary". forschungsdaten.info, February 05, 2026. forschungsdaten.info/praxis-kompakt/glossar/.}