Exploring and Curating Data Collections with CURARE: demonstration

Genoveva Vargas-Solar 1, 2 Gavin Kemp 3, 4 Irving Hernández-Gallegos Javier Espinosa-Oviedo 5 Catarina Ferreira da Silva 4 Parisa Ghodous 3, 4
1 LIG Laboratoire d'Informatique de Grenoble - HADAS
LIG - Laboratoire d'Informatique de Grenoble
2 LAFMIA - Laboratoire Franco-Mexicain d'Informatique et d'Automatique
3 SOC - Service Oriented Computing
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
5 TU Delft - Delft University of Technology
Abstract : This paper demonstrates CURARE, an environment for curating raw data collections and assisting data scientists to explore them. CURARE implements a data curation model used to store structural and quantitative metadata such as the number of columns, de name of columns and the statistics of the values of every column. 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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Submitted on : Monday, October 21, 2019 - 8:36:31 PM
Last modification on : Tuesday, November 19, 2019 - 2:38:52 AM

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EC-LYON | LIG | UGA | CNRS | UNIV-LYON1 | INSA-LYON | LIRIS | UNIV-LYON2 | INSA-GROUPE | UDL

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Genoveva Vargas-Solar, Gavin Kemp, Irving Hernández-Gallegos, Javier Espinosa-Oviedo, Catarina Ferreira da Silva, et al.. Exploring and Curating Data Collections with CURARE: demonstration. Proceeding of the 35ème Conférence sur la Gestion de Données – Principes, Technologies et Applications, Oct 2019, Lyon, France. ⟨hal-02321031⟩

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