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eDiscovery-samverkan för digitalt bevarande
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [sv]

För att lösa problemen med långsiktigt digitalt bevarande måste det finnas en samverkan mellan människan, processen och tekniken. Databearbetning är ett viktigt steg att säkra den digitala långtidslagringen av dokument, och att använda samarbetsytor med gemensamma plattformar, för utarbetning mellan arkivinstitutioner. I ett datornätverk som automatiskt ska kunna hitta och kommunicera med annan utrustning i samma nätverk så använder vi dagligen olika system för att öppna våra filer, som i det ursprungliga filformatet har ett "inbyggt" format, som på ett bestämt sätt ordnar data som ska läsas och bearbetas av ett datorprogram. Här krävs att insamlingen av materialet görs korrekt. Behovet av kontaktytor för samarbete är stor och en aktivitet efter lösningar som möjliggör bland annat att uppfylla lagstiftning om bevarande av information pågår. Myndigheter och många företag som ännu inte uppmärksammat problematiken har behovet av lösningar.

Abstract [en]

To solve the problems of long-term digital preservation, there must be an interaction between man, the process and the technology. Data processing is an important step to secure the digital long-term storage of documents, and to use collaborative surfaces with common platforms, for preparation between archive institutions. In a computer network that should automatically be able to find and communicate with other equipment in the same network, we use different systems daily to open our files, which in the original file format has a "built-in" format, which in a certain way organizes data to be read and processed by a computer program. Here, the collection of the material is required to be done correctly. The need for contact areas for collaboration is great and an activity for solutions that enable, among other things, to comply with legislation on information retention is ongoing. Authorities and many companies that have not yet noticed the problem have the need for solutions.

Place, publisher, year, edition, pages
2019. , p. 72
Keywords [en]
eDiscovery, Collection, Preservation, Artificial Intelligence, Modeling, Framework, Dimensions Profile, Modeling Concepts, Standards.
Keywords [sv]
eDiscovery, Insamling, Bevarandesystem, Artificiell intelligens. Modelleringsmetoder, Plattform, Begreppsmodell, Dimensions Profile, Standarder.
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:miun:diva-37259OAI: oai:DiVA.org:miun-37259DiVA, id: diva2:1352499
Subject / course
Archives and Information Science AV1
Supervisors
Examiners
Available from: 2019-09-19 Created: 2019-09-19 Last updated: 2019-09-19Bibliographically approved

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CiteExportLink to record
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