Main Influencing Factors of Quality Determination of Collaborative Open Data Pages

Ralf-Christian Härting , Włodzimierz Lewoniewski


Collaborative knowledge bases allow anyone to create and edit information online. One example of a resource with collaborative content is Wikipedia. Despite the fact that this free encyclopedia is one of the most popular sources of information in the world, it is often criticized for the poor quality of its content. Articles in Wikipedia in different languages on the same topic, can be created and edited independently of each other. Some of these language versions can provide very different but valuable information on each topic. Measuring the quality of articles using metrics is intended to make open data pages such as Wikipedia more reliable and trustworthy. A major challenge is that the ‘gold standard’ in determining the quality of an open data page is unknown. Therefore, we investigated which factors influence the potentials of quality determination of collaborative open data pages and their sources. Our model is based on empirical data derived from the experience of international experts on knowledge management and data quality. It has been developed by using semi-structured interviews and a qualitative content analysis based on Grounded Theory (GT). Important influencing factors are: Better outcomes, Better decision making, Limitations, More efficient workflows for article creation and review, Process efficiency, Quality improvement, Reliable and trustworthy utilization of data.
Author Ralf-Christian Härting
Ralf-Christian Härting,,
, Włodzimierz Lewoniewski (WIiGE / KIE)
Włodzimierz Lewoniewski,,
- Department of Information Systems
Journal seriesInformation (Switzerland), [Information (Switzerland)], ISSN 2078-2489, (N/A 40 pkt)
Issue year2020
Publication size in sheets0.5
Keywords in Polishjakość danych, jakość informacji, Wikipedia, otwarte dane, metryka, wskaźniki, wymiary jakości, badanie jakościowe, określenie jakości
Keywords in Englishdata quality, information quality, Wikipedia, open data, metrics, indicators, quality dimensions, qualitative study, quality determination
ASJC Classification1710 Information Systems
Languageen angielski
Score (nominal)40
Score sourcejournalList
ScoreMinisterial score = 40.0, 11-09-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.034
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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