Dagmar Waltemath

nfdi4health aims to create the most comprehensive inventory of German epidemiological, public health and clinical trial data to date. It builds a centralised data catalogue with elaborate search functionalities, sophisticated data access management, and a data analysis toolbox, while respecting stringent requirements for privacy concerning personal health data. Standardisation services ensure a high degree of interoperability. Use cases covering prototypical study types and areas of research show
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This project bundles information about COVID-19 related studies and tools in Germany. It intends to provide an information hub for the different initiatives, their aims, their processes, standards and study protocols, as well as their available data and metadata.
It is initiated by the German National Research Data Infrastructure for Personal Health Data (nfdi4health), a consortium that plans to establish a concept for a federated research data infrastructure for personal health data in Germany.
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Salmon farmed on modern feeds contains less of the healthy, long-chain fatty acids (EPA and DHA) than before. Up until the turn of the millennium, farmed salmon were fed fish oil as a replacement for their omega-3 rich natural prey. However, fish oil is now a scarce resource, and more than half of the fat in modern feeds comes from plant oils that are inexpensive, but devoid of long-chain omega-3 fatty acids. How can we increase the omega-3 content of salmon on sustainable feeds?

One option is
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The GMDS project group bundles activities for health-related FAIR data infrastructures in the fields of biomedical research, clinical data management and medical informatics in Germany. It aims at providing a platform for information exchange about best practice for and implementation of FAIR data management in these fields and constructing a network of FAIR data managements providers in these fields. Through bridging between providers and potential users of such data management platforms within
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The Systems Biology Service Center of de.NBI (de.NBI-SysBio) provides bioinformatics support and a standards-based data management for systems biology projects, with focus on the provenance of experimental results and on the reproducibility of modeling experiments, as well as high-quality curated biochemical data to modelers and experimentalists.
The node concentrates on two tools for the data management in life sciences research: SEEK, a catalogue for storage, registration and exchange of data
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Public showcase and collection of training material

The workshop focuses on the publication, curation, retrieval, and usage of kinetic data from the reaction kinetics database SABIO-RK and on the use of data in modeling. There will be experience reports from scientists who successfully used experimental data to formulate or verify biological hypotheses with the computer, and you will experience how experimental data can be used with computational models.