Towards Interactive Gathering of DUV-Based Dataset Usage Information

Although many open data portals have been publishing numerous datasets on the Web, there is currently no clear standard way to describe dataset usage on the Web, which is not conducive to the healthy development of the open data ecosystem. The W3C Data on the Web Best Practices Working Group is therefore standardizing the Dataset Usage Vocabulary (DUV) for modeling, conveying and sharing dataset usage information on the Web, aiming at facilitating better communication between data publishers and consumers and promoting the re-use of Web-published data. Despite the significant progress in the standardization, there is a lack of systematic research on approaches and tools for gathering DUV-based dataset usage information. This paper therefore proposes a generic software Framework for Interactively Gathering DUV-based Dataset Usage Information (FIGDUI) on the Web. FIGDUI can provide both data publishers and consumers (collectively referred to as the user) with a friendly user interface designed according to DUV's Citation Model, Usage Model and Feedback Model, and employ automatic algorithms to convert the user-entered data into dataset usage data in a machine-readable RDF format and to publish the RDF data as Linked Open Data on the Web. Our prototype implementation of FIGDUI and preliminary experimental results show that FIGDUI is feasible and implementable.