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Safeguarding the nation’s digital memory: towards a Bayesian model of digital preservation risk
Archives and Records Pub Date : 2021-05-28 , DOI: 10.1080/23257962.2021.1873121
Martine Barons 1 , Sidhant Bhatia 2 , Jodie Double 3 , Thais Fonseca 1 , Alex Green 4 , Stephen Krol 5 , Hannah Merwood 4 , Alec Mulinder 4 , Sonia Ranade 4 , Jim Q Smith 1 , Tamara Thornhill 6 , David H Underdown 4
Affiliation  

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.



中文翻译:

保护国家的数字记忆:走向数字保存风险的贝叶斯模型

摘要

数字资料的保存是一项挑战,许多档案馆对此感到准备不足和装备不足。国家档案馆(英国)一直在与华威大学的统计学家和英国档案部门的合作伙伴合作,开发一个决策支持系统,量化数字保存所涉及的风险。通过跨学科合作,该合作伙伴关系开发了一种基于贝叶斯统计网络的交互式工具,用于管理数字材料的风险。该工具为档案工作者提供了一种不同的数字保存思维方式,并得到了他们可以用来倡导采取行动的证据基础的支持。该项目展示了协作方法的潜在好处,结合了来自不同学科的见解。

更新日期:2021-05-28
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