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Demonstrating data collections curation and exploration with CURARE

Abstract : This paper demonstrates CURARE, an environment for curating and assisting data scientists to explore raw data collections. CURARE implements a data curation model used to store structural and quantitative metadata semi-automatically extracted. It provides associated functions for exploring these metadata. The demonstration proposed in this paper is devoted to evaluate and compare the effort invested by a data scientist when exploring data collections with and without CURARE assistance.
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Contributor : Genoveva Vargas-Solar <>
Submitted on : Monday, March 11, 2019 - 11:10:36 PM
Last modification on : Wednesday, December 9, 2020 - 3:00:23 AM
Long-term archiving on: : Wednesday, June 12, 2019 - 6:34:18 PM


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  • HAL Id : hal-02064489, version 1


Genoveva Vargas-Solar, Gavin Kemp, Irving Hernández-Gallegos, Javier Espinosa-Oviedo, Catarina Ferreira da Silva, et al.. Demonstrating data collections curation and exploration with CURARE. EDBT/ICDT Conference 2019, Mar 2019, Lisbon, Portugal. pp.4. ⟨hal-02064489⟩



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