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Data and Information Quality (JDIQ)

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Journal of Data and Information Quality (JDIQ) - Special Issue on Provenance, Data and Information Quality, Volume 5 Issue 3, February 2015



Section: Special Issue on Provenance, Data and Information Quality

Editorial
Paolo Missier, Paolo Papotti
Article No.: 8
DOI: 10.1145/2692312

Provenance Quality Assessment Methodology and Framework
You-Wei Cheah, Beth Plale
Article No.: 9
DOI: 10.1145/2665069

Data provenance, a form of metadata describing the life cycle of a data product, is crucial in the sharing of research data. Research data, when shared over decades, requires recipients to make a determination of both use and trust. That is, can...

A Hybrid Approach to Answering Why-Not Questions on Relational Query Results
Melanie Herschel
Article No.: 10
DOI: 10.1145/2665070

In analyzing and debugging data transformations, or more specifically relational queries, a subproblem is to understand why some data are not part of the query result. This problem has recently been addressed from different perspectives for...

Self-Identifying Data for Fair Use
Stephen Chong, Christian Skalka, Jeffrey A. Vaughan
Article No.: 11
DOI: 10.1145/2687422

Public-use earth science datasets are a useful resource with the unfortunate feature that their provenance is easily disconnected from their content. “Fair-use policies” typically associated with these datasets require appropriate...

QUAL: A Provenance-Aware Quality Model
Chris Baillie, Peter Edwards, Edoardo Pignotti
Article No.: 12
DOI: 10.1145/2700413

In this article, we present a model for quality assessment over linked data. This model has been designed to align with emerging standards for provenance on the Web to enable agents to reason about data provenance when performing quality...