Open data

Opening up research data is a complex task. Just terminology can be challenging - should we talk about research materials or data? And what should be included in data? Opening up data also requires huge amount of planning already in the collection phase. Opening up data is also affected by legal requirements (in particular the new GDPR-regulation) and by the terms set by the financiers. And if we finally get to the point of opening up the data, storing it so that it can be genuinely found and exploited requires both efforts of an individual researcher and a significant enabling infrastructure.
Life cycle management of research data
The lifecycle of research data is controlled when the verifiability and repeatability of the research at different stages of the life cycle is successful and the results are easy to use. In this case, the research results can be reused, evaluated and used in decision-making. At the same time, it is possible to secure more rapidly growing volumes of data for future generations of researchers by digitalisation.
How does life cycle management work?
Fairdata services can be used for life-cycle management. Fairdata services support the long-term preservation and availability of research information.
Data archives and storage sites:

Links about data sharing: