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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.

Main Influencing Factors of Quality Determination of Collaborative Open Data Pages