A quality-aware spatial data warehouse for querying hydroecological data

L. Berrahou, N. Lalande, E. Serrano, G. Molla, Laure Berti-Equille, S. Bimonte, S. Bringay, F. Cernesson, C. Grac, D. Ienco, F. Le Ber, M. Teisseire

Research output: Contribution to journalArticle

9 Citations (Scopus)


Addressing data quality issues in information systems remains a challenging task. Many approaches only tackle this issue at the extract, transform and load steps. Here we define a comprehensive method to gain greater insight into data quality characteristics within data warehouse. Our novel architecture was implemented for an hydroecological case study where massive French watercourse sampling data are collected. The method models and makes effective use of spatial, thematic and temporal accuracy, consistency and completeness for multidimensional data in order to offer analysts a "data quality" oriented framework. The results obtained in experiments carried out on the Saône River dataset demonstrated the relevance of our approach.

Original languageEnglish
Article number3624
Pages (from-to)126-135
Number of pages10
JournalComputers and Geosciences
Publication statusPublished - 1 Dec 2015
Externally publishedYes



  • Data quality
  • Data warehouse modeling and design
  • Hydroecological data
  • Information system

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

Cite this

Berrahou, L., Lalande, N., Serrano, E., Molla, G., Berti-Equille, L., Bimonte, S., Bringay, S., Cernesson, F., Grac, C., Ienco, D., Le Ber, F., & Teisseire, M. (2015). A quality-aware spatial data warehouse for querying hydroecological data. Computers and Geosciences, 85, 126-135. [3624]. https://doi.org/10.1016/j.cageo.2015.09.012