Demonstrating data collections curation and exploration with CURARE
Genoveva Vargas-Solar (Université Grenoble Alpes)
Gavin Kemp (Université de Lyon)
Irving Hernández-Gallegos (Universidad Autónoma de Guadalajara, Zapopan)
Javier A. Espinosa Oviedo (Design & Construction Management)
Catarina Ferreira Da Silva (Université de Lyon)
Parisa Ghodous (Université de Lyon)
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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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