Dresden 2020 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 40: Data Analytics, Extreme Events, and Nonlinear Stochastic Systems (joint session DY/SOE)

DY 40.7: 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 Schlemmer^{1, 2, 3}, Ulrich Parlitz^{1, 2, 4}, and Stefan Luther^{1, 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.