Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
DY: Fachverband Dynamik und Statistische Physik
DY 13: Big Data and Artificial Intelligence (joint session SOE/DY)
DY 13.2: Vortrag
Montag, 5. September 2022, 18:00–18:15, H18
From sample management to workflow integration: Semantic research data management in glaciology. — Florian Spreckelsen1, •Daniel Hornung1, and Johannes Freitag2 — 1IndiScale Gmbh, Göttingen — 2Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
Organizing data from a diversity of sources, from acquisition to publication, can be a tough challenge. We present implementations with the flexible open-source research data management toolkit CaosDB in the glaciology department at the Alfred Wegener Institute (AWI) in Bremerhaven. CaosDB is used in a diversity of fields such as turbulence physics, legal research, animal behavior and glaciology. CaosDB links research data, makes it findable and retrievable, and keeps data consistent, even if the data model changes.
At AWI, CaosDB keeps track of ice core samples and to whom samples are loaned for analyses. It made possible additional features such as: A revision system to track all changes to the data and the sample state at the time of analysis. Automated gathering of information for the publication in FAIR-DO meta-data repositories, e.g. Pangaea. Tools for storing, displaying and querying geospatial information and graphical summaries of all analyses performed on each ice core. Automatic data extraction and refinement into data records in CaosDB to minimize manual users interaction. A state machine which guarantees certain workflows, simplifies development and can be extended to trigger additional actions upon transitions.
We demonstrate how CaosDB simplifies semantic data in science.