Dresden 2020 – scientific programme
The DPG Spring Meeting in Dresden had to be cancelled! Read more ...
Parts | Days | Selection | Search | Updates | Downloads | Help
SOE: Fachverband Physik sozio-ökonomischer Systeme
SOE 10: Data Analytics, Extreme Events, Nonlinear Stochastic Systems, and Networks (joint session DY/SOE)
SOE 10.7: Talk
Wednesday, March 18, 2020, 17:00–17:15, ZEU 118
Using data crawling and flexible semantic data models to enable sustainable research data management — •Alexander Schlemmer1, 2, 3, Ulrich Parlitz1, 2, 4, and Stefan Luther1, 2, 4, 5 — 1Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany — 2German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Germany — 3IndiScale GmbH, Göttingen, Germany — 4Institute for the Dynamics of Complex Systems, Georg-August-Universität Göttingen, Germany — 5Institute of Pharmacology and Toxicology, University Medical Center Göttingen, Germany
Despite the significant advances in computation power and information technology of the last decades, scientific data management is still lacking widespread adoption in many scientific communities. The absence of standardized workflows and corresponding tools significantly impedes complete transparency and reproducibility of research results.
We discuss key concepts to remove omnipresent barriers in scientific data management. Specifically, data crawling strategies and flexible semantic data models are highlighted. With examples using our open source software CaosDB (https://doi.org/10.3390/data4020083) we show how these concepts can be practically applied in order to achieve sustainable research data management.