Emery, Doug

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  • Publication
    The Galen Palimpsest and the Modest Ambitions of the Digital Data Set
    (2019-05-09) Emery, Doug
    The digital Syriac Galen Palimpsest (SGP) data set is an archive built on the model of the digital Archimedes Palimpsest. As with Archimedes, the SGP data set is meant to promote the long-term preservation of and access to the digitized palimpsest. The SGP data set follows archiving best practices and uses the Archimedes Palimpsest Metadata Standard for spectral imaging metadata. The data is released under a Creative Commons Attribution 3.0 Unported license (CC BY 3.0). The SGP project used custom software to manage its data and metadata from the time of capture to final data set publication. In the years since initial publication, newly discovered leaves of the manuscript have been discovered, imaged, and added to the on-line archive. Since the publication of the SGP data set, subsequent projects have built on and refined the methods established by the SGP team by moving away from content-based file naming, establishing formal quality assurance practices, increasing automation in the creation and management of data and metadata, and including full bit-depth capture images in the digital product.
  • Publication
    A New Model for Manuscript Provenance Research: The Mapping Manuscript Migrations Project
    (2022-06-10) Burrows, Toby; Emery, Doug; Fraas, Arthur Mitchell; Hyvönen, Eero; Ikkala, Esko; Koho, Mikko; Lewis, David; Morrison, Andrew; Page, Kevin; Ransom, Lynn; Cawlfield Thomson, Emma; Tuominen, Jouni; Velios, Athanasios; Wijsman, Hanno
    Since it was awarded a Round 4 Trans-Atlantic Platform Digging into Data Challenge grant in 2017, the Mapping Manuscript Migrations project has been working to develop and test a methodology to link disparate datasets from Europe and North America with the aim of providing large-scale analysis and visualizations of the history and provenance of medieval and Renaissance manuscripts. Guided by a set of research questions identified at the outset of the project, MMM developed an innovative Linked Open Data model and dataset which unifies three separate manuscript-related databases in a semantically consistent way, together with the workflows for transforming the institutional data contributions into the common structure. The dataset has been made available through a Linked Open Data service hosted by the Linked Data Finland platform and the MMM semantic portal. The aggregated data can be queried and visualized at scales ranging from a single manuscript to a total of more than 216,000 manuscripts as a group. Visualization tools developed in the portal show how the manuscripts have traveled across time and space from their place of production to their current locations, where they continue to find new audiences. The following report summarizes our methodology and results, and lays the groundwork for further research using our processes.