Speaker
Description
The particle physics experiment A4 [1] at the Mainz Microtron (MAMI) produced a stream of valuable data for many years which already released scientific output of high quality and still provides a solid basis for future publications. Here, we report from our approach to make the data hoard of a dismounted project sustainable and publishable according to the FAIR principles which, finally, would make the data intelligible to, both, humans and machines. For this purpose, (meta)data is (i) enriched by metadata and qualified references, such as ORCIDs, Instrument PIDs and RDF annotations, (ii) stored in generally understandable xml and html file formats, and (iii) linked to a central file which defines relations of low-level files to create scientific context. The developed software is adjustable to the data set through configuration files and extendable by customized routines.
[1] https://www.blogs.uni-mainz.de/fb08-ag-maas/a4-collaboration-at-mami/
