Regensburg 2019 – scientific programme
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BP: Fachverband Biologische Physik
BP 12: Poster II
BP 12.24: Poster
Tuesday, April 2, 2019, 14:00–16:00, Poster B2
Modern data workflow management providing new insights into biomedical data — Henrik tom Wörden1, 2, •Alexander Schlemmer1, 3, Daniel Hornung1, Timm Fitschen1, 2, 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
The progress in measurement and imaging technologies, such as multichannel EEG, 4D ultrasound imaging or real-time MRI, results in unprecedented amounts of high-resolution, multi-modal data. The processing, analysis, and interpretation of this complex data is a major scientific challenge and a significant bottleneck. Links and interdependencies can exist between all kinds of data on multiple levels, possibly spanning single experiments, experiment series or even larger collaborative projects. Although analysis procedures in biomedical sciences are often advanced, limits in data management may constrain their application. Using data from cardiac research we show how a modern data workflow management allows for a more effective and versatile interface to the data. The workflow also supports the connection of experimental data to simulation data and analysis results, ensuring a high flexibility of data access and reusability for the researcher.