Earth System Data Science

Research on global challenges like climate change and the loss of biodiversity demands for publicly available, high quality and interoperable data. These data can only be provided if different disciplines in earth systems research and biodiversity research work closely together. My highly interdisciplinary team of geologists, biologists, engineers and software developers located at the AWI and MARUM has a national and international proven track record in research data management, data logistics and data science. Our integrated data driven view enables transforming the wealth of heterogenous information into new knowledge for innovation and policy advice.

Working Area

• Open access and reusability of research data according to the FAIR (Findable, Accessible, Interoperable, Reusable) data principles
• Global patters of biodiversity and the effect of anthropogenic influence
• Custom-tailored development and sustainable operation of research data infrastructures

Methods

Data information systems PANGAEA, GFBio e.V, O2A, NFDI4Biodiversity, NFDI, DAM, de.NBI, ELIXIR. Datacuration, development of standards, ontologies, data harmonisation, provenance, data integration, data mining, AI, bioinformatics