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Safeguarding the nation's digital memory: towards a Bayesian model of digital preservation risk.

Authors :
Barons, Martine
Bhatia, Sidhant
Double, Jodie
Fonseca, Thais
Green, Alex
Krol, Stephen
Merwood, Hannah
Mulinder, Alec
Ranade, Sonia
Smith, Jim Q
Thornhill, Tamara
Underdown, David H
Source :
Archives & Records. Spring2021, Vol. 42 Issue 1, p58-78. 21p.
Publication Year :
2021

Abstract

Preservation of digital material is a challenge for which many archives feel underprepared and ill equipped. The National Archives (UK) has been working in collaboration with statisticians from the University of Warwick and partners from across the UK archives sector to develop a decision-support system which quantifies the risks involved in digital preservation. Through interdisciplinary collaboration, this partnership has developed an interactive tool for managing risks to digital material, based on a Bayesian statistical network. The tool provides archivists with a different way of thinking about digital preservation, supported by an evidence base they can use to advocate for action. The project illustrates the potential benefit of a collaborative approach, combining insight from different disciplines. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23257962
Volume :
42
Issue :
1
Database :
Academic Search Index
Journal :
Archives & Records
Publication Type :
Academic Journal
Accession number :
150580204
Full Text :
https://doi.org/10.1080/23257962.2021.1873121