Data quality assessment and improvement: a Vrije Universiteit Brussel case study
Author(s)
Issue Date
June 9, 2016
Publisher
euroCRIS
Source
"Communicating and Measuring Research Responsibly: Profiling, Metrics, Impact, Interoperability": Proceedings of the 13th International Conference on Current Research Information Systems (2016)
Procedia Computer Science 106: 32-38 (2017)
Type
Conference Paper
Abstract
As the Vrije Universiteit Brussel switched from an in-house built CRIS to Pure, a large number of data quality issues were discovered. In order to solve these, a large-scale data quality assessment and improvement program was started. The assessment sought to find data quality issues and prioritize cleaning tasks along different dimensions, such as reusability and complexity, while taking into account compliance and stakeholder happiness. Moreover, in doing these assessments, an attempt was made to isolate relatively easy to clean parts of the data in order to make them more feasible for people with less domain-knowledge. Finally, some of these data quality improvement operations turned out to be straightforward enough to fully automate them.
Description
Delivered at the CRIS2016 Conference in St Andrews; published in Procedia Computer Science 106 (Mar 2017).-- Contains conference paper (7 pages).
URI
https://dspacecris.eurocris.org/handle/11366/545
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Procedia_CRIS2016_VandenBerghe_VanGaeveren.pdf
Size
95.21 KB
Format
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Conference(s)