Regensburg 2019 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 50: Poster: Nonlinear Systems, Patterns, Flows ..
DY 50.17: Poster
Donnerstag, 4. April 2019, 15:00–18:00, Poster B2
Complex Data Workflow Management using CaosDB — •Alexander Schlemmer1, 3, Henrik tom Wörden1, 2, Timm Fitschen1, 2, Daniel Hornung1, Ulrich Parlitz1, 2, 3, and Stefan Luther1, 2, 3, 4, 5 — 1Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany — 2Institute for Nonlinear Dynamics, Georg-August-Universität, Göttingen, Germany — 3German Center for Cardiovascular Research (DZHK), partner site Göttingen, Germany — 4Institute of Pharmacology and Toxicology, University Medical Center Göttingen, Göttingen, Germany — 5Department of Physics and Department of Bioengineering, Northeastern University, Boston, USA
Although scientific data has been used in digital formats for a long time, the data management is in many cases flawed and highly ineffective: In many scientific workgroups data files are spread over many devices, hidden in impractical directory tree structures and rarely sufficiently documented or annotated with metadata. Concepts for overcoming these problems, like the FAIR data principles, receive a lot of attention, but practical solutions for data workflow management are far from commonly implemented. Here we propose a data workflow management based on CaosDB (https://arxiv.org/abs/1801.07653) which is able to handle big amounts of complex data. The versatile semantic data model maps various data sources and data structures, such as data from different measurement devices or computer simulation data. In particular, the software includes a powerful and intuitive query language and a system for physical units.