The projects of ELASTO-Q-MAT will generate a large amount of experimental (raw and processed) and numerical simulations data. Furthermore numerous software and tools will be developed. Following the guidelines by the DFG [1,2], all data generated are reliably and systematically preserved.
To go beyond, applying the FAIR data principles [3,4] suitable data should be submitted to appropriate data repositories. Complementing these data with the necessary metadata requires early considerations in the data live cycle. The data manager will assist in the according planning especially to prevent isolated solutions.
This CRC/TRR incorporates participants from different scientific communities with their own specific data workflows and formats. Providing individual solutions while retaining an overarching universal approach is a challenging task:
Different institutions with their own distinct infrastructure suggest a decentralized solution to data preservation. The key infrastructure for long-term storage on dedicated archive servers is provided by the coordination of the data centers at the participating universities and institutions: The Hochschulrechenzentrum (HRZ) at GU, the Zentrum für Datenverarbeitung (ZDV) at JGU, and the Steinbuch Center for Computing (SCC) at KIT.
While a number discipline specific repositiories  are established, especially due to the efforts in the NFDI this topic is rapidly evolving. Furthermore, institutional repositories are announced. The data manager is providing advice to identify suitable repositories.
We will progressively develop data-management plans for the research groups, early adopters are welcome.
Data sharing within the TRR 288 is provided by existing installations of seafile and nextcloud at the institutions. To allow for a seamless data exchange, shared metadata schemes will be developed.
Programs and tools developed in the projects are valuable resources not only for the other members of the TRR 288. In case of numerical simulations they are a necessary ingredient to reproduce the results. To ensure reproducibility the use of a version control system is crucial. Installations of the software development platform Gitlab at the institutions do not only provide version control but also allow for easy exchange and collaboration.
For software developments of general interest we recommend using the platform Github.
ContactFor advice and support please contact the data manager Andreas Poenicke (Email).
|||DFG - Leitlinien zum Umgang mit Forschungsdaten (2015)|
|||Guidelines for Safeguarding Good Research Practice - Code of Conduct (2019)|
|||The FAIR Data Principles|
|||FAIR Principles at GO FAIR|