Data curation policies and data provenance in EUDAT Collaborative Data Infrastructure

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Persistent URL	http://purl.org/net/epubs/work/41570993
Record Status	Checked
Record Id	41570993
Title	Data curation policies and data provenance in EUDAT Collaborative Data Infrastructure
Contributors	V Bunakov (STFC Rutherford Appleton Lab.), A Atamas, A de Casanove, P Dugénie, R van Horik, S Lambert (STFC Rutherford Appleton Lab.), J Quinteros, L Reijnhoudt
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.
Organisation	STFC , SCI-COMP , SCI-COMP-DST
Keywords	long-term digital preservation , data provenance , e-infrastructure , data curation , policy
Funding Information	STFC; EC, Horizon 2020 EUDAT (Grant Agreement No. No. 654065)
Related Research Object(s):	40627723
Licence Information:
Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Author Accepted Manuscript	Comm Com Inf Sc 822 (2018): 249-263. Presented at: International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2017), Moscow, Russia, 10-13 Oct 2017.		STFC-AAM-2019-018.pdf	2018