An integrated view of data quality in Earth observation
Yang, X. (University of Reading. Environmental Systems Science Centre)
Blower, J. D. (University of Reading. Environmental Systems Science Centre)
Bastin, L. (Aston University. School of Engineering and Applied Science)
Lush, V. (Aston University. School of Engineering and Applied Science)
Zabala Torres, Alaitz (Universitat Autònoma de Barcelona. Departament de Geografia)
Maso, Joan (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Cornford, D. (Aston University. School of Engineering and Applied Science)
Díaz, P. (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Lumsden, J. (Aston University. School of Engineering and Applied Science)

Data:	2013
Resum:	Data quality is a difficult notion to define precisely, and different communities have different views and understandings of the subject. This causes confusion, a lack of harmonization of data across communities and omission of vital quality information. For some existing data infrastructures, data quality standards cannot address the problem adequately and cannot fulfil all user needs or cover all concepts of data quality. In this study, we discuss some philosophical issues on data quality. We identify actual user needs on data quality, review existing standards and specifications on data quality, and propose an integrated model for data quality in the field of Earth observation (EO). We also propose a practical mechanism for applying the integrated quality information model to a large number of datasets through metadata inheritance. While our data quality management approach is in the domain of EO, we believe that the ideas and methodologies for data quality management can be applied to wider domains and disciplines to facilitate quality-enabled scientific research.
Ajuts:	European Commission 248488 European Commission 265178
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Data quality ; Earth observation ; Environmental informatics ; Metadata ; Provenance ; Uncertainty
Publicat a:	Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 371, Issue 1983 (January 2013) , art. 20120072, ISSN 1471-2962

DOI: 10.1098/rsta.2012.0072
PMID: 23230156

16 p, 615.9 KB

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