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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Scaling Up Knowledge of Digital Preservation Risk: From Concept to Reference Model and Risk Assessment with CHARM

Authors: Pennock, Maureen;

Scaling Up Knowledge of Digital Preservation Risk: From Concept to Reference Model and Risk Assessment with CHARM

Abstract

Risk is a frequently used term in digital preservation, though the literature and solutions of the field often portray and describe risk in different ways. CHARM addresses this with a newly innovative, comprehensive reference model and corresponding vocabulary for the digital preservation risk domain. Inspired by risk science, a signature feature of CHARM is its applied distinction between conceptual and characterized digital preservation risk. CHARM establishes a conceptual definition of digital preservation risk built around a purposeful definition of digital preservation as a goal and value-based endeavour, then deconstructs this to develop a cascading and logical series of abstract models for the whole digital preservation risk domain. This paper introduces the methodology through which CHARM was developed, presents and explains some of the key CHARM models, and discusses some of the methods through which CHARM can support scoped yet holistic risk identification and risk assessment exercises. This holistic, domain-level solution represents a significant 'scaling up' of our disciplinary understanding of digital preservation risk.

Keywords

risk science, FOS: Computer and information sciences, Business and management, digital preservation, Computer and information sciences, Library sciences, reference model, risk management

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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