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Preservation Services Planning: A Decision Support Framework
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2014 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Commercial organizations are experiencing a growing need to access business-criticaldata in the longer term of their operations. Governmental regulations as well as commercial interestsinfluence this need. Organizations are willing to procure cost-effective services to this end - servicesthat are increasingly based as public or private cloud solutions. With the advent of autonomous cloudservices comes the possibility to assemble (mix and match) preservation services in a workflowbasedservice-oriented solution. Following the interaction with information managers in (three)commercial organizations operating in different markets and after a review of current literature, wehave revealed a lack of comprehensive guidelines and decision support in service selection as part ofpreservation planning. Existing models and frameworks used for assessing the quality of preservationservices either manage performance-based features that service provider’s offer or the technicaldetails of the preservation actions themselves. In this paper we present our preservation-planningframework (Preserv-Qual) that addresses the need for decision support in the selection ofpreservation services that explicitly acknowledge the differences among aspects of information usewithin an organization. We describe the outcome from an evaluation of the framework in threecommercial organisations as a service quality assessment and decision support tool. This papershows how our framework supports the use of existing and proven methods, models and principlesfor service assessment, digital preservation and decision support.

Place, publisher, year, edition, pages
2014.
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:ltu:diva-28437Local ID: 23ba7786-cd4c-4746-a466-43899ec04ba3OAI: oai:DiVA.org:ltu-28437DiVA: diva2:1001634
Conference
International Conference on Cloud Security Management : 23/10/2014 - 24/10/2014
Note
Godkänd; 2014; 20140624 (ingand)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-10-20Bibliographically approved

Open Access in DiVA

fulltext(581 kB)116 downloads
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CiteExportLink to record
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Citation style
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