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

IF 0.8 3区社会学 0 HUMANITIES, MULTIDISCIPLINARY

Archives and Records-The Journal of the Archives and Records Association Pub Date : 2021-01-02 DOI:10.1080/23257962.2021.1873121

Martine J. Barons, Sidhant Bhatia, J. Double, Thais C. O. Fonseca, A. Green, S. Krol, Hannah Merwood, Alec Mulinder, Sonia Ranade, Jim Q. Smith, Tamara Thornhill, David H. Underdown

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引用次数: 5

Abstract

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.

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保护国家的数字记忆：走向数字保存风险的贝叶斯模型

摘要数字材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。英国国家档案馆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。该工具为档案管理员提供了一种不同的数字保存思考方式，并有一个证据库作为支持，他们可以用来倡导行动。该项目展示了合作方法的潜在好处，结合了不同学科的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Archives and Records-The Journal of the Archives and Records Association HUMANITIES, MULTIDISCIPLINARY-

CiteScore

0.90

自引率

0.00%

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