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Towards Systematic Analysis and Summary of DUV-Based Dataset Usage Information

The forthcoming Dataset Usage Vocabulary (DUV) standard under development by the W3C Data on the Web Best Practices Working Group can be used to describe and share dataset usage information on the Web, thus facilitating better communication between data publishers and consumers. Despite the significant progress in the standardization, there is a lack of systematic research on approaches and tools for analyzing and summarizing DUV-based dataset usage information to promote the re-use of data. This paper therefore proposes a Framework for Analysis and Summary of DUV-based Dataset Usage Information (FASDUI). FASDUI can provide users (data publishers and consumers) with a friendly user interface designed according to DUV's Citation Model, Usage Model, and Feedback Model, and employ automatic algorithms to systematically analyze dataset usage data and then present the summarized usage information in the user interface. Our prototype implementation of FASDUI and preliminary experimental results show that FASDUI is feasible and implementable.