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  Data Analysis and Exploration with Scientific Workflows

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

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 Creators:
Dransch, D.1, Author              
Eggert, Daniel1, Author              
Abraham, Nicola2, Author
Bouwer, Laurens M.2, Author
Brix, Holger2, Author
Callies, Ulrich2, Author
Kalbacher, Thomas2, Author
Lüdtke, Stefan3, Author              
Merz, B.3, Author              
Nam, Christine2, Author
Nixdorf, Erik2, Author
Rabe, Daniela2, Author
Rechid, Diana2, Author
Schröter, Kai3, Author              
Tiedje, Bente2, Author
Wendi, Dadiyorto3, Author              
Wichert, Viktoria2, Author
Affiliations:
11.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146028              
2External Organizations, ou_persistent22              
34.4 Hydrology, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146048              

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 Abstract: 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.

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 Dates: 20222022
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-030-99546-1_5
GFZPOF: p4 T5 Future Landscapes
GFZPOFCCA: p4 CTA Digital Earth
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Title: Integrating Data Science and Earth Science
Source Genre: Book
 Creator(s):
Bouwer, Laurens M.1, Editor
Dransch, D.2, Editor            
Ruhnke, Roland1, Editor
Rechid, Diana1, Editor
Frickenhaus, Stephan1, Editor
Greinert, Jens1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
2 1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_224064            
Publ. Info: Cham : Springer International Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 55 - 84 Identifier: ISSN: 2191-589X
ISSN: 2191-5903
ISBN: 978-3-030-99545-4
ISBN: 978-3-030-99546-1

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Title: SpringerBriefs in Earth System Sciences
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -