Tens of thousands of studies. Hundreds of instruments. Countless data sources. What used to be scattered, difficult to find, and hard to link together is now bundled in one place by the Health Study Hub. As the central search platform of NFDI4Health, the Health Study Hub makes research data systematically visible and sustainably usable. Researchers can search for studies, instruments, and documents via a uniform interface – structured, standardized, and prepared according to FAIR principles. A decisive milestone was the integration of data from the German Centers for Health Research (DZGs). This made studies on major widespread diseases such as cancer, cardiovascular disease, and diabetes centrally accessible across disciplines. The result: better networking, less duplication of work, and faster follow-up research. In this way, the Health Study Hub not only strengthens scientific collaboration, but also stands for efficient and transparent health research.
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New class: Infrastructure for Mathematics (MaRDI)
This course discusses the concepts and services that mathematics students often only learn about during thesis writing or by word of mouth. When introducing research data management topics, we focus on how to do maths efficiently and sustainably.
Best practices in mathematics: small trees (MaRDI)
One example of FAIR mathematics is the project small phylogenetic trees: an early 2000’s mathematical library transformed into a modern website, a software package, and a best practice report.
From archive to modern research: How animal observations from 1845 provide new insights into biodiversity change (NFDI4Biodiversity)
From Archive to Data Source for Biodiversity Research
Historical wildlife observations from 1845 have been digitized, standardized, and published as FAIR data. This transforms previously hidden archival records into a valuable resource for modern biodiversity research and conservation.
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