Citizen science project applications can be created in two different ways: use an existing platform or build them from scratch. When creating applications for citizen science projects, data quality, privacy and provenance are important characteristics of such applications. Therefore, the objective of this research is to find out how well data quality, privacy and provenance are handled in ongoing citizen science projects. A number of citizen science projects have been compared against ISO/IEC 25012 data quality standard characteristics. Results show that data quality is mostly lacking in the areas of accuracy, privacy, provenance and availability. Projects have not implemented decent accuracy checks when giving data, projects show the real name and location of participants and such data should not be available to others. Management of provenance is not found in many projects but where it is found, provenance is either really well or extremely poorly handled. Many of these issues could be easily solved with proper data management and testing. At the end of this article, multiple suggestions are given to improve data quality, provenance and privacy in citizen science project applications.
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