6533b7d8fe1ef96bd126af07
RESEARCH PRODUCT
An Extended Data Object-driven Approach to Data Quality Evaluation: Contextual Data Quality Analysis
Anastasija NikiforovaJanis Bicevskissubject
Information retrievalParsingComputer sciencemedia_common.quotation_subjectExtension (predicate logic)computer.software_genreObject (computer science)Open dataContextual designData qualityQuality (business)computerScope (computer science)media_commondescription
This research is an extension of a data object-driven approach to data quality evaluation allowing to analyse data object quality in scope of multiple data objects. Previously presented approach was used to analyse one particular data object, mainly focusing on syntactic analysis. It means that the primary data object quality can be analysed against secondary data objects of unlimited number. This opportunity allows making more comprehensive, in-depth contextual data object analysis. The given analysis was applied to open data sets, making comparison between previously obtained results and results of application of the extended approach, underlying importance and benefits of the given extension.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2019-01-01 | Proceedings of the 21st International Conference on Enterprise Information Systems |