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Demonstrating data collections curation and exploration with CURARE

Authors :
Vargas-Solar, Genoveva
Kemp, Gavin
Hernández-Gallegos, Irving
Espinosa Oviedo, J.A.
Da Silva, Catarina Ferreira
Ghodous, Parisa
Herschel, Melanie
Galhardas, Helena
Reinwald, Berthold
Fundulaki, Irini
Binnig, Carsten
Kaoudi, Zoi
Source :
Advances in Database Technology (EDBT 2019): Proceedings of the 22nd International Conference on Extending Database Technology, Advances in Database Technology (EDBT 2019)
Publication Year :
2019
Publisher :
OpenProceedings.org, 2019.

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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Advances in Database Technology (EDBT 2019): Proceedings of the 22nd International Conference on Extending Database Technology, Advances in Database Technology (EDBT 2019)
Accession number :
edsair.narcis........fb41329626d8ca238b7fc06029039bfc