Scientific exploitation of space data

Exploitation of all acquired and available data provided by space missions in their operative, post-operative or data exploitation phase ensuring complementarity with activities already supported by ESA or national agencies during development phases.

Given the continuously increasing complexity and volume of these data, this requires innovative data processing technologies (e.g. machine learning, inversion techniques, ...) “time series” analysis (which is already common in Earth and Climate Science), joint processing of various (space and ground) data, novel data (re)presentation and visualization assets, as well as sophisticated end-to-end simulations.

Projects may rely on data available through Copernicus DIAS (Data and Information Access Services), ESA Space Science Archives when possible or other means (e.g. instrumentation teams). Combination and correlation of this data with international scientific mission data, as well as with relevant data produced by ground-based infrastructures all over the world, is encouraged to further increase the scientific return and to enable new research activities using existing data sets. These activities shall add scientific value through analysis of the data, leading to scientific publications and higher-level data products, tools and methods. When possible, enhanced data products should be suitable for feeding back into the ESA Space Science archives. Resulting analyses should help preparing future European and international missions.

International cooperation is encouraged in particular with countries active in space exploration and space science.

In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.