Effective preservation decision strategies

Henderson, Jane; Waller, Robert

doi:10.1179/2047058415y.0000000019

Cited by 15 publications

(10 citation statements)

References 39 publications

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“…The ontology is available online. 50 The bibliographic search showed no evidence of the model's re-use in later projects for the development of ontologies within the CnR domain.…”

Section: Heritage Resilience Against Climate Events On Sitementioning

confidence: 98%

“…The work presented in [78] proposes the Conservation Reasoning ontology (CORE), a semantic model which was developed with the purpose of facilitating integration and querying of data related to conservation of byzantine icons. 50 https://github.com/FraunhoferIOSB/HERACLES 51 https://www.cost.eu/actions/TD1406/#tabs|Name:overview The CORE ontology extends certain classes from CIDOC CRM [25], in order to facilitate CnR data modelling. The extension of CIDOC CRM was conducted in a bottom-up manner based on empirical analysis, scientific knowledge and existing CnR vocabularies [78].…”

Section: Conservation Reasoning Ontologymentioning

confidence: 99%

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Semantic models and services for conservation and restoration of cultural heritage: A comprehensive survey

Moraitou

Christodoulou

2022

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Over the last decade, the Cultural Heritage (CH) domain has gradually adopted Semantic Web (SW) technologies for organizing information and for tackling interoperability issues. Several semantic models have been proposed which accommodate essential aspects of information management: retrieval, integration, reuse and sharing. In this context, the CH subdomain of Conservation and Restoration (CnR) exhibits an increasing interest in SW technologies, in an attempt to effectively handle the highly heterogeneous and often secluded CnR information. This paper investigates semantic models relevant to the CnR knowledge domain. The scope, development methodology and coverage of CnR aspects are described and discussed. Furthermore, the evaluation, deployment and current exploitation of each model are examined, with focus on the types and variety of services provided to support the CnR professional. Through this study, the following research questions are investigated: To what extent the various aspects of CnR are covered by existing CnR models? To what extent existing CnR models incorporate models of the broader CH domain and of relevant disciplines (e.g., Chemistry)? In what ways and to what extent services built upon the reviewed models facilitate CnR professionals in their various tasks? Finally, based on the findings, fields of interest that merit further investigation are suggested.

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“…The ontology is available online. 50 The bibliographic search showed no evidence of the model's re-use in later projects for the development of ontologies within the CnR domain.…”

Section: Heritage Resilience Against Climate Events On Sitementioning

confidence: 98%

Section: Conservation Reasoning Ontologymentioning

confidence: 99%

Semantic models and services for conservation and restoration of cultural heritage: A comprehensive survey

Moraitou

Christodoulou

2022

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“…The field of behavioural economics, largely pioneered by Kahneman and Tversky and their colleagues has established that decisions are influenced, sometimes dominated, by emotional factors. These factors have been shown to affect conservation-related decisions through a diverse set of heuristics (rules of thumb) and biases (Henderson and Waller 2016).…”

Section: Bias and Judgement In Managing Use Of Historic Buildingsmentioning

confidence: 99%

Begin with Benefits: Reducing Bias in Conservation Decision-Making

Henderson

Waller

Hopes

2020

Studies in Conservation

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“…Over the last 30 years a number of tools, models and decision making frameworks have been developed to support 'rational decision making' for better collection management and preservation practice (Henderson and Waller, 2016). While risk assessment models, benchmarking practice, logic models, condition surveys (Taylor, 2014;Bell & Lindsay, 2000;Cassar, 1998) have usefully informed collection management, funding decisions and priority setting, the focus was largely retrospective in design, mainly assessing historic damage against established qualitative criteria.…”

Section: Introductionmentioning

confidence: 99%

Evidence for Informed Preservation Planning and Advocacy: A Synoptic View

Bell¹,

Cassar

Strlič

2018

Studies in Conservation

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We argue the need to demonstrate the value of preservation services to institutions, the public and funders, because it matters conceptually and needs to be supported and validated. To address this imperative, improved and focussed data capture and its use by collection managers is advocated as the necessary first step towards the development of an evidence-based culture for preservation services and synoptic decision making, where evidence enables us to optimise the outcome of planning.To do so, we need tools that enable us to evaluate diverse preservation scenarios. We demonstrate the potential of emerging cross-disciplinary tools and protocols developed in the recent years such as attitude surveys, computational modelling and demographic modelling. These offer evidence that informs prospective preservation planning, and, importantly, provides a credible evidence base for advocacy. These possibilities are discussed within the wider context of well-established preservation planning protocols that have shaped collection management for three decades, broadly characterised as retrospective.1. There is no single correct solution as the end goal is often not well defined (e.g. the longterm horizon in preservation is often defined as "forever" or "as long as possible") 2. The problem is frequently redefined and end goals are adjusted to fit the available means 3. Decisions are designed to avoid negative impacts rather than to achieve desirable ones 4. The decision (and policy) process is ongoing and never ends.There are positive and less positive aspects of incremental decision making. It could be seen as realistic and pragmatic, as it rarely moves away from accepted practice, however, in doing so, it rarely considers radical shifts in policy if conditions change markedly. Do the precarious economic and social situation in many countries and the impending climate change require of us to consider more radical approaches to decision making? Accepting the principles of economic efficiency, synoptic planning attempts to optimise returns. It is based on the following steps: (i) Problem definition, (ii) Goal definition, (iii) Options appraisal, (iv) Choice of the optimal solution, (iv) Outcome monitoring. The most important criticism of synoptic

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Effective preservation decision strategies

Cited by 15 publications

References 39 publications

Semantic models and services for conservation and restoration of cultural heritage: A comprehensive survey

Semantic models and services for conservation and restoration of cultural heritage: A comprehensive survey

Begin with Benefits: Reducing Bias in Conservation Decision-Making

Evidence for Informed Preservation Planning and Advocacy: A Synoptic View

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