An integrated view of data quality in earth observation


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 full all user needs or cover all concepts of data quality. In this paper we discuss some philosophical issues on data quality. We identify actual user needs on data quality, review existing standards and specification on data quality, and propose an integrated model for data quality in the eld of Earth observation. We also propose a practical mechanism for applying the integrated quality information model to large number of datasets through metadata inheritance. While our data quality management approach is in the domain of Earth observation, we believe the ideas and methodologies for data quality management can be applied to wider domains and disciplines to facilitate quality-enabled scientific research.

Publication DOI:
Divisions: ?? 50811700Jl ??
College of Engineering & Physical Sciences > Sustainable environment research group
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2012 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License, which permits unrestricted use, provided the original author and source are credited.
Uncontrolled Keywords: data quality,uncertainty,metadata,provenance,Earth observation,environmental informatics,Mathematics(all),Physics and Astronomy(all),Engineering(all)
Publication ISSN: 1471-2962
Last Modified: 01 Feb 2024 08:04
Date Deposited: 11 Mar 2019 18:22
Full Text Link: http://rsta.roy ... WsL&keytype=ref
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2012-12-10
Published Online Date: 2012-12-10
Authors: Yang, Kevin
Blower, Jon
Bastin, Lucy (ORCID Profile 0000-0003-1321-0800)
Lush, Victoria
Zabala, Alaitz
Masó, Joan
Cornford, Dan (ORCID Profile 0000-0001-8787-6758)
Díaz, Paula
Lumsden, Jo (ORCID Profile 0000-0002-8637-7647)



Version: Published Version

License: Creative Commons Attribution

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