Data Quality Assessment and Improvement: A Vrije Universiteit Brussel Case Study
| Autor: | Kyle Van Gaeveren, Steven Van den Berghe |
|---|---|
| Přispěvatelé: | R&D centraal, Centre for Linguistics, Social-cultural food-research |
| Rok vydání: | 2017 |
| Předmět: |
Computer science
Management science Data Quality Assessment Research Data Management Stakeholder Data Quality Improvement 02 engineering and technology Data cleaning Risk analysis (engineering) Order (business) 020204 information systems Data quality 0202 electrical engineering electronic engineering information engineering General Earth and Planetary Sciences 020201 artificial intelligence & image processing Quality policy Computer Science(all) General Environmental Science Reusability |
| Zdroj: | CRIS |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2017.03.006 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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