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Justin Hayes

Justin Hayes

Room 247, Newton Building

E-mail: J.Hayes (append "")

University of Salford
School of Computing, Science & Engineering
Greater Manchester, M5 4WT
United Kingdom

Tel: Tel: +44-(0)161-295 6749

Justin Hayes is the Data Modelling Lead at the Pattern Recognition and Image Analysis (PRImA) Lab within the School of Computing, Science and Engineering at the University of Salford, UK. He is working with the PRImA team to develop methods and processes to enable the retrieval of large sets of historical statistical information from visual representational formats (mostly multiple statistical tables in printed documents, or physical or digital image copies), and then integrate the information into structured and operable data to make it available for analysis using current tools and techniques. Justin has many years of experience of working with complex information from current and historical UK censuses to improve its accessibility and usability through integration and standardisation of data structures to facilitate the development of automated Web dissemination applications. He has an MSc. in Geographical Information Systems from the University of Leicester (1998).

Research interest and skills

  • Data modelling and description
  • Open data
  • Census data
  • Data representation and mapping
  • Data standards
  • Historical data
  • Data assurance
  • Data dissemination and usability
  • Databases
  • Geographical Information Systems

Publications for Justin Hayes

Refereed Papers


Creating a Complete Workflow for Digitising Historical Census Documents: Considerations and Evaluation

C. Clausner, J. Hayes, A. Antonacopoulos, S. Pletschacher

Proceedings of the 2017 Workshop on Historical Document Imaging and Processing (HIP2017), Kyoto, Japan, November 2017, pp. 83-88

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Unearthing the Recent Past: Digitising and Understanding Statistical Information from Census Tables

C. Clausner, J. Hayes, A. Antonacopoulos, S. Pletschacher

Proceedings of Second International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2017), Goettingen, Germany, 01 - 02 June 2017

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