Geographic information is present in our daily lives. This pervasiveness is also at the origin of several problems, including heterogeneity and trustworthiness -of the data sources, of the data providers, and of the data products derived from the original sources. Most efforts to improve this situation concentrate on establishing data collection and curation standards, and quality metadata. This paper extends these efforts by presenting an approach to assess quality of geospatial data based on provenance.
An open problem in scientific community is that of supporting reproducibility and quality assessment of scientific experiments. Solutions need to be able to help scientists to reproduce experimental procedures in a reliable manner and, at the same time, to provide mechanisms for documenting the experiments to enhance integrity and transparency. Moreover, solutions need to incorporate features that allow the assessment of procedures, data used and results of those experiments. In this context, we designed W2Share, a framework to meet these requirements. This paper introduces our first implementation of W2Share, which moreover guides scientists in step-by-step process to ensure reproducibility based on a script-to-workflow conversion strategy. W2Share also incorporates features that allow annotating experiments with quality information. We validate our prototype using a real-world scenario in Bioinformatics.
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