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OpenART Project. University of York, with Tate and Acuity Unlimited. What content and metadata are you working with?.
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OpenART Project University of York, with Tate and Acuity Unlimited
What content and metadata are you working with? At the heart of OpenART is ‘The London Art World 1660-1735’, a major research and metadata-creation activity designed to provide a detailed, archive-based resource, enabling users to explore this art world’s lost networks, markets and geographies. It comprises four interconnected categories of material and information: • People: a biographical dictionary describing some 4,000 painters, auctioneers, dealers, patrons, collectors, print publishers and artists' suppliers; • Sales: a calendar of over 2,000 public art sales, charting the resale market from its beginnings in the Restoration period to the 1730s; • Place: a map of the art world that plots artists' premises, print shops, auction venues, collectors' houses and other places onto contemporary maps; • Sources: over 12,000 sources comprising a bibliography of primary and secondary literature and full-text primary sources. These will include transcripts of several thousand newspaper advertisements, George Vertue's notebooks.
How will this data be made available? • Semantic store (in line with Fedora) • Normalisation of formats and vocabs • Services for delivery, eg. Pubby • Format, likely some flavour of RDF • After the project, a human navigable interface, eg. hypertree
What are your use cases for the data? Answering research questions, such as • Who were the members of the Rose and Crown Club? • How many paintings were imported annually into England? • Where did artists have their studios in this period? Beyond that • Where did the record come from? • Where is the original work now?
What benefits to your institution and the sector do you anticipate? • Institution • Mechanism for releasing open data • Evidence of ‘added-value’ for research • Evidence of DL role in research support • Sector • Proven mechanism for releasing open data • A human-readable visualisation of the data • Data itself • Evidence of value in open data