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Book Chapter

Data Curation Policies and Data Provenance in EUDAT Collaborative Data Infrastructure

Authors

Bunakov,  Vasily
External Organizations;

Atamas,  Alexander
External Organizations;

de Casanove,  Alexia
External Organizations;

Dugénie,  Pascal
External Organizations;

van Horik,  Rene
External Organizations;

Lambert,  Simon
External Organizations;

/persons/resource/javier

Quinteros,  J.
2.4 Seismology, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Reijnhoudt,  Linda
External Organizations;

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Citation

Bunakov, V., Atamas, A., de Casanove, A., Dugénie, P., van Horik, R., Lambert, S., Quinteros, J., Reijnhoudt, L. (2018): Data Curation Policies and Data Provenance in EUDAT Collaborative Data Infrastructure. - In: Kalinichenko, L., Manolopoulos, Y., Malkov, O., Skvortsov, N., Stupnikov, S., Sukhomlin, V. (Eds.), Data Analytics and Management in Data Intensive Domains: Communications in Computer and Information Science, (Communications in Computer and Information Science ; 822), Cham : Springer International Publishing, 249-263.
https://doi.org/10.1007/978-3-319-96553-6_18


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3907890
Abstract
The work outlines the development of a data curation and data provenance framework in the EUDAT Collaborative Data Infrastructure. Practical use cases are described, as well as results of defining and implementing data curation policies and data provenance patterns.