Archiving

Good scientific practice requires a ten year archiving of research data on which publications are based. This ensures the traceability and reproducibility of the research results.

The following must be considered when archiving

This long deadline places demands on the data itself and on the method chosen to archive it. The data itself should be in a suitable open file format and described via metadata on a sufficient scale to ensure a lasting understanding of the content. Repositories, which are maintained by infrastructure institutions, are particularly suitable as storage locations. TUdata maintains the TUdatalib repository for the TU Darmstadt, which can be used not only for archiving but also for publishing data.

Selecting data for archiving

As a rule, not all data can or need to be archived in the long term. In individual cases, longer archiving may also make sense, e.g. if data can only be collected again at very high cost or not at all (e.g. natural events). It is up to you as the researcher to make a suitable selection of the data. A guide to selection is provided by the Digital Curation Centre, for example.

“Digital Curation Centre: Five steps to decide what data to keep: a checklist for appraising research data”