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Justin Hayes

Room 318, Peel Building

E-mail: J.Hayes (append "@primaresearch.org")

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

Tel: Tel: +44-(0)161-295 7388

Justin Hayes is the Data Modelling Lead at the Pattern Recognition and Image Analysis (PRImA) Lab within the School of Science, Engineering & Environment 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).

General
Publications

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 [4]

Refereed Papers

2019

Crowdsourcing Historical Tabular Data – 1961 Census of England and Wales

C. Clausner, J. Hayes, A. Antonacopoulos

Proceedings of the 2019 Workshop on Historical Document Imaging and Processing (HIP2019), Sydney, Australia, September 2019, pp. 42-47

Details » Download PDF

Towards the Extraction of Statistical Information from Digitised Numerical Tables - The Medical Officer of Health Reports Scoping Study

C. Clausner, A. Antonacopoulos, C. Henshaw, J. Hayes

Proceedings of Third International Conference on Digital Access to Textual Cultural Heritage (DATeCH 2019), Brussels, Belgium, 08 - 10 May 2019

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2017

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Proceedings of the 2017 Workshop on Historical Document Imaging and Processing (HIP2017), Kyoto, Japan, November 2017, pp. 83-88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

Details » Download PDF