The structured handling of research data is one of the standard requirements in science today, but it also presents us as a research network with the question: How do we ensure the usability of large amounts of data for future researchers?
SE²A aims to process research data in accordance with the FAIR principles. FAIR stands for findable, accessible, interoperable and reusable. To this purpose, the SE²A project METRO first collated the specific requirements for a cross-disciplinary research database. Based on this, the SE²A Dataverse was developed, in which research data can be stored and described using metadata regardless of its format.
Dataverse is an open source web application developed by the Harvard University project of the same name. Beyond a simple repository, Dataverse makes it possible not only to store research data, but also to share, publish or analyse it using metadata. A common data exchange platform is a great advantage for an interdisciplinary cluster, as a large number of file formats are created by the different research processes and methods.
Over 40 projects in the Cluster of Excellence produce research data which, thanks to Dataverse, not only fulfil legal requirements such as a 10-year storage period but, as already mentioned, remain usable beyond this period. Dataverse therefore also provides a knowledge base for collaborations with other project partners in aviation research.