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Data Analysis and Exploration with Scientific Workflows

Urheber*innen
/persons/resource/dransch

Dransch,  D.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/eggi

Eggert,  Daniel
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Abraham,  Nicola
External Organizations;

Bouwer,  Laurens M.
External Organizations;

Brix,  Holger
External Organizations;

Callies,  Ulrich
External Organizations;

Kalbacher,  Thomas
External Organizations;

/persons/resource/sluedtke

Lüdtke,  Stefan
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/bmerz

Merz,  B.
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Nam,  Christine
External Organizations;

Nixdorf,  Erik
External Organizations;

Rabe,  Daniela
External Organizations;

Rechid,  Diana
External Organizations;

/persons/resource/kschroet

Schröter,  Kai
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Tiedje,  Bente
External Organizations;

/persons/resource/dwendi

Wendi,  Dadiyorto
4.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Wichert,  Viktoria
External Organizations;

Externe Ressourcen
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Ergänzendes Material (frei zugänglich)
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Zitation

Dransch, D., Eggert, D., Abraham, N., Bouwer, L. M., Brix, H., Callies, U., Kalbacher, T., Lüdtke, S., Merz, B., Nam, C., Nixdorf, E., Rabe, D., Rechid, D., Schröter, K., Tiedje, B., Wendi, D., Wichert, V. (2022): Data Analysis and Exploration with Scientific Workflows. - In: Bouwer, L. M., Dransch, D., Ruhnke, R., Rechid, D., Frickenhaus, S., Greinert, J. (Eds.), Integrating Data Science and Earth Science, (SpringerBriefs in Earth System Sciences), Cham : Springer International Publishing, 55-84.
https://doi.org/10.1007/978-3-030-99546-1_5


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5012690
Zusammenfassung
Geoscientific data analysis has to face some challenges regarding seamless data analysis chains, reuse of methods and tools, interdisciplinary approaches and digitalization. Computer science and data science offer concepts to face these challenges. We took the concepts of scientific workflows and component-based software engineering and adapted it to the field of geoscience. In close collaboration of computer and geo-experts, we set up an expedient approach and technology to develop and implement scientific workflows on a conceptual and digital level. We applied the approach in the showcase “Cross-disciplinary Investigation of Flood Events” to introduce and prove the concepts in our geoscientific work environment, and assess how the approach tackles the posed challenges. This is exemplarily demonstrated with the Flood Event Explorer which has been developed in Digital Earth.