Scalable Spatiotemporal Data Structures and Analytics

Fabian Gans

Mission

Handling research data is a key task for almost every modern scientist. In the Department for Biogeochemical Integration we deal with a variety of research datasests, ranging from satellite observations to climate model output or Eddy-Covariance data. The research of the project group “Scalable Spatiotemporal Data Structures and Analytics” focuses on finding strategies to handle these diverse and very large datasets in an efficient way to build data analysis pipelines that fulfill the needs of our scientific questions.

The project group deals with the concept of data cubes and its many applications in big data analysis on cloud computing environments as well as traditional HPC systems.

Projects

NFDI4Earth

Duration: 10/2021 - 10/2026
PI/Co-PIs: Markus Reichstein, Fabian Gans

The goal of the NFDI4Earth is to provide simple, efficient and open access to all relevant Earth System Data. The NFDI4Earth aims to establish common principles, rules and standards for research data management in Earth system sciences. Major implementation guidelines are the FAIR principles, which do impact the whole research data life cycle.

Participating department members: Markus Reichstein, Fabian Gans more

Open Earth Monitor

Duration: 06/2022 - 05/2026
PI/Co-PIs: Gregory Duveiller

The mission of Open-Earth-Monitor is to accelerate uptake of environmental information to guide current and future users in research, decision-making and citizens toward the most sustainable solutions.

Participating department members: Fabian Gans, Markus Reichstein and Jacob Nelson more

Publications