University of Jena / German Centre for Integrative Biodiversity Research (iDiv)
10/2020 – 12/2025
01/2022 – 12/2023
German Research Foundation
Dr Jana Moser
Tel: +49 341 600 55-133
NFDI4Biodiversity is one of currently around 30 thematic consortia of the National Research Data Infrastructure, which is funded by the federal and state governments since 2020. NFDI4Biodiversity aims to enable the collaborative use of biodiversity and environmental data. In the project, data resources are systematically made accessible, networked and sustainably usable for the scientific system in Germany. The biodiversity consortium comprises 49 partner organizations, including research institutions, professional societies and state offices.
To ensure accessibility for retrieving complex data and datasets, the IfL is researching on visualization approaches and visual storytelling methods within the project. The goal is to develop visualizations that consider their specifc attributes, the quality of the individual datasets, their spatial characteristics, and existing protection interests. The visualizations should also support the interpretation of the data, for example, by merging relevant datasets or providing information about the reliability of the data collections. This was previously tested in the ornitho Regioportal, which was created within the Experiencing Biodiversity project. Based on selected biodiversity data, methods and tools for interactive web map presentations are developed, tested and implemented. A special focus will be on the needs and interests of different user groups.
The project will use local examples to explore the relationship of different species and species groups among each other in locally located examples, e.g. the combination of observation data of birds with those of insects in order to draw conclusions about changes in the population. A special role is given to the transparent visualization of the differences between occurrences, observations and reports in order to support the interpretation of the data. In cooperation with selected data providers, stories on local examples will be written in storytelling format to show possible change across population or location.
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