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Found 5 result(s)
Country
The FDZ-DZA (Forschungsdatenzentrum DZA) is a facility of the German Centre of Gerontology (Deutsches Zentrum für Altersfragen, DZA) and has received accreditation as research data center DZA by the German Data Forum (RatSWD). Its main task is to make data of the German Ageing Survey DEAS and the German Survey on Volunteering (FWS) accessible to researchers by providing user-friendly Scientific Use Files (SUF), documentation of the contents and instruments as well support for scholars using the data.
Country
KiGGS is a long-term study conducted by the Robert Koch Institute (RKI) on the health of children and adolescents in Germany. The study repeatedly supplies data, representative of the country as a whole, on the health of under 18-year-olds. In addition, the children and adolescents of the first KiGGS study are repeatedly invited, and they continue to be monitored right into their adulthood.
Country
The DSMZ is the most comprehensive biological resource center worldwide. Being one of the world's largest collections, the DSMZ currently comprises more than 73,700 items, including about 31,900 different bacterial and 6,600 fungal strains, 840 human and animal cell lines, 1,500 plant viruses and antisera, 700 bacteriophages and 19,000 different types of bacterial genomic DNA. All biological materials accepted in the DSMZ collection are subject to extensive quality control and physiological and molecular characterization by our central services. In addition, DSMZ provides an extensive documentation and detailed diagnostic information on the biological materials. The unprecedented diversity and quality management of its bioresources render the DSMZ an internationally renowned supplier for science, diagnostic laboratories, national reference centers, as well as industrial partners.
Knoema is a knowledge platform. The basic idea is to connect data with analytical and presentation tools. As a result, we end with one uniformed platform for users to access, present and share data-driven content. Within Knoema, we capture most aspects of a typical data use cycle: accessing data from multiple sources, bringing relevant indicators into a common space, visualizing figures, applying analytical functions, creating a set of dashboards, and presenting the outcome.