Are you Ready? Assessing Whether Organisations are Prepared for Digital Preservation

Sinclair, Pauline; Duckworth, James; Jardine, Lewis; Keen, Ann; Sharpe, Robert J.; Billenness, Clive; Farquhar, Adam; Humphreys, Jane

doi:10.2218/ijdc.v6i1.187

Cited by 18 publications

(32 citation statements)

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“…Documentation of organisational policies is often scarce; this is beginning to change [69]. Often, the first time evaluation and selection is carried out, a number of organisational factors have to be established once, which adds to the effort needed for the first decision process.…”

Section: Discussionmentioning

confidence: 99%

Improving component selection and monitoring with controlled experimentation and automated measurements

Becker

Rauber

2010

Information and Software Technology

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a b s t r a c tContext: A number of approaches have been proposed for the general problem of software component evaluation and selection. Most approaches come from the field of Component-Based Software Development (CBSD), tackle the problem of Commercial-off-the-shelf component selection and use goal-oriented requirements modelling and multi-criteria decision making techniques. Evaluation of the suitability of components is carried out largely manually and partly relies on subjective judgement. However, in dynamic, distributed environments with high demands for transparent selection processes leading to trustworthy, auditable decisions, subjective judgements and vendor claims are not considered sufficient. Furthermore, continuous monitoring and re-evaluation of components after integration is sometimes needed. Objective: This paper describes how an evidence-based approach to component evaluation can improve repeatability and reproducibility of component selection under the following conditions: (1) Functional homogeneity of candidate components and (2) High number of components and selection problem instances. Method: Our evaluation and selection method and tool empirically evaluate candidate components in controlled experiments by applying automated measurements. By analysing the differences to system-development-oriented scenarios, the paper shows how the process of utility analysis can be tailored to fit the problem space, and describes a method geared towards automated evaluation in an empirical setting. We describe tool support and a framework for automated measurements. We further present a taxonomy of decision criteria for the described scenario and discuss the data collection means needed for each category of criteria. Results: To evaluate our approach, we discuss a series of case studies in the area of digital preservation. We analyse the criteria defined in these case studies, classify them according to the taxonomy, and discuss the quantitative coverage of automated measurements. Conclusion: The results of the analysis show that an automated measurement, evaluation and selection framework is necessary and feasible to ensure trusted and repeatable decisions.

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Section: Discussionmentioning

confidence: 99%

Improving component selection and monitoring with controlled experimentation and automated measurements

Becker

Rauber

2010

Information and Software Technology

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“…Sinclair and colleagues surveyed 172 national libraries, archives, and other cultural heritage organizations in Europe to "better understand the organization's digital preservation activities and needs." 14 While the respondents expressed a high level of awareness of the challenges of preservation, the authors found no corresponding level of policy and budgetary development. An Educause Center for Applied Research study by Yanosky examined data management in U.S. higher education.…”

Section: Institutional Context and Challenges Of Digital Asset Managementioning

confidence: 94%

Digital Curation Planning at Michigan State University

Schmidt¹,

Ghering²,

Nicholson³

2011

Library Resources &Amp; Technical Services

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Recognizing the need for guiding the management and preservation of MichiganR esearch universities and other large organizations continue to create and amass large volumes of digital assets and information. The inherent fragility of digital material because of technology obsolescence and physical threats such as media instability put these valuable digital assets at risk of eventual inaccessibility. In 2009, Michigan State University (MSU) confronted the problem of management and long-term preservation (curation) of its digital assets by implementing a digital curation planning project. The University Archives and Historical Collections (UAHC), MSU Libraries, and MATRIX: Center for Humane Arts, Letters, and Social Sciences Online collaborated in this exploration of digital asset management at the university with the goal of developing campuswide guidelines for good practices in digital curation. This paper describes the MSU project beginning with the institutional context and challenges of digital asset management faced by a major research university and explains the plans, methods, and results of the study. The project team developed and implemented a self-selective, campuswide survey of digital assets and technological infrastructures using a web-based questionnaire. After the project team analyzed the results of the questionnaire, they selected eleven units for in-depth, one-on-one interviews regarding their digital curation practices. The paper concludes with recommended next steps in digital curation planning for MSU. The MSU study may serve as a model for similar research at other universities; the MSU recommendations also may be relevant.

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“…As DP standards, methods, and concepts developed, organizations began to invest resources to meet their preservation needs. Interest and focus in recent years has subsequently extended from technical DP research and prototypes for individual tools, techniques, or system components to the deployment and operation of full‐fledged archival information systems (Atkins, Goethals, Kussmann, Phillips, & Vardigan, ; McKinney, Benson, & Knight, ; Sinclair et al, ). To evaluate how these solutions work in aggregate, an organizational view is needed.…”

Section: Introductionmentioning

confidence: 99%

Organizational assessment frameworks for digital preservation: A literature review and mapping

Maemura

Moles

Becker

2017

Asso for Info Science & Tech

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As the field of digital preservation matures, there is an increasing need to systematically assess an organization's abilities to achieve its digital preservation goals, and a wide variety of assessment tools have been created for this purpose. To map the landscape of research in this area, evaluate the current maturity of knowledge on this central question in DP and provide direction for future research, this paper reviews assessment frameworks in digital preservation through a systematic literature search and categorizes the literature by type of research. The analysis shows that publication output around assessment in digital preservation has increased markedly over time, but most existing work focuses on developing new models rather than rigorous evaluation and validation of existing frameworks. Significant gaps are present in the application of robust conceptual foundations and design methods, and in the level of empirical evidence available to enable the evaluation and validation of assessment models. The analysis and comparison with other fields suggest that the design of assessment models in DP should be studied rigorously in both theory and practice, and that the development of future models will benefit from applying existing methods, processes, and principles for model design.

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Are you Ready? Assessing Whether Organisations are Prepared for Digital Preservation

Cited by 18 publications

References 0 publications

Improving component selection and monitoring with controlled experimentation and automated measurements

Improving component selection and monitoring with controlled experimentation and automated measurements

Digital Curation Planning at Michigan State University

Organizational assessment frameworks for digital preservation: A literature review and mapping

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