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Data mining in collections: from epidemiology to demography

Duran Casablancas, C; Grau-Bové, J; Fearn, T; Strlič, M; (2017) Data mining in collections: from epidemiology to demography. In: Proceedings of the 18th ICOM Comittee for Conservation Triennial Conference. International Council of Museums (ICOM-CC): Copenhagen, Denmark. Green open access

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Abstract

Random collection surveys can be a rich source of data on the material state of a collection. However, random surveys do not necessarily provide data on the causes of degradation of collection items, which is useful in terms of resource allocation. For this, the reliability theory provides us with the required concepts. Using appropriate survey methods and statistical methods of data analysis, the so obtained observational ‘epidemiology’ data has revealed risk factors that can lead to such degradation. We identified patterns in the observed data that corroborated experimental research findings and enabled us to carry out ‘demographic’ modelling of the dynamics of future change in the surveyed collection for the case study of the Amsterdam City Archives. The study shows how, using appropriate methods of collection surveying, empirical and modelling studies of real collections can be successfully integrated, leading to useful evidence supporting collection care decision making.

Type: Proceedings paper
Title: Data mining in collections: from epidemiology to demography
Event: 18th ICOM Comittee for Conservation Triennial Conference
Location: Copenhagen
Dates: 04 September 2017 - 08 September 2017
Open access status: An open access version is available from UCL Discovery
Publisher version: http://icom-cc-publications-online.org/Publication...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Collection surveys, Damage function, Libraries and archives, Preventive conservation
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
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/1575558
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