2013
DOI: 10.1007/978-3-642-41501-2_8
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Toward a Reference Architecture for Archival Systems

Abstract: Abstract. Long-term preservation of product data is imperative for many organizations. A product data archive should be designed to ensure information accessibility and understanding over time. Approaches such as the Open Archival Information System (OAIS) Reference Model and the Audit and Certification of Trustworthy Digital Repositories (ACTDR) provide a framework for conceptually describing and evaluating archives. These approaches are generic and do not focus on particular contexts or content types. Enterp… Show more

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Cited by 4 publications
(2 citation statements)
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“…This type of obsolescence can have several reasons, mainly the loss of the required knowledge to interpret the data, like what can happen for early CAD formats like GEM or IBM CAD [2]. To overcome these issues, several researchers are focusing on how to preserve the data for long-term archival [3][4][5]. This research ranges from data formats, best practices, to standards and frameworks.…”
Section: Digital Obsolescencementioning
confidence: 99%
“…This type of obsolescence can have several reasons, mainly the loss of the required knowledge to interpret the data, like what can happen for early CAD formats like GEM or IBM CAD [2]. To overcome these issues, several researchers are focusing on how to preserve the data for long-term archival [3][4][5]. This research ranges from data formats, best practices, to standards and frameworks.…”
Section: Digital Obsolescencementioning
confidence: 99%
“…Similar pattern has been observed while performing analysis of the 565 research papers of PLM IC proceedings. Some of the authors didn't mention the keywords at all [15] while others varied the number of keywords by large amount (the lowest number being 2 while the highest number going up to 23). The total number of keywords for all the 565 papers is calculated to be 2068 giving an average of 3.66 keywords per paper.…”
Section: Abstract Classificationmentioning
confidence: 99%