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Heritage Data Science

Orr, Scott Allan; (2022) Heritage Data Science. In: Fouseki, Kalliopi and Cassar, May and Dreyfuss, Guillaume and Ang, Kelvin and Eng, Kah, (eds.) Handbook on Sustainable Heritage. (pp. 484-496). Routledge: London, UK. Green open access

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Abstract

The so-called data revolution is rapidly transforming society, including the heritage sector. Building on the more-established area of heritage science, a framework for heritage data science is proposed as a transdisciplinary field that employs data-driven approaches with critical reasoning within the heritage domain, in awareness of its unique and pressing challenges, to inform engagement with heritage and its interpretation and long-term management. Several open challenges within the field are discussed, including data quality and integrity, transdisciplinary, and education.

Type: Book chapter
Title: Heritage Data Science
ISBN-13: 9781003038955
Open access status: An open access version is available from UCL Discovery
DOI: 10.4324/9781003038955
Publisher version: https://doi.org/10.4324/9781003038955
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10129189
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