Digital patterns for heritage and data preservation standards

Gordon, LC; Chaczko, Z

Digital patterns for heritage and data preservation standards

Gordon, LC Chaczko, Z

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Publication Type:: Conference Proceeding
Citation:: Studies in Computational Intelligence, 2015, 595 pp. 47 - 59
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Gordon, LC	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	Studies in Computational Intelligence, 2015, 595 pp. 47 - 59	en_US
dc.identifier.issn	1860-949X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/33417
dc.description.abstract	© Springer International Publishing Switzerland 2015. This research covers the digital preservation concept and the terms around this definition. According to this contextualization it is related with the management of data in the different fields but with the same issues and concerns. The appropriate way to keep information through the time is with preservation parameters. The managing of massive amounts of critical data involves designing, modeling, processing and implementation of accurate system. The methods for the treatment of data have to consider two dimensions that this chapter has focused: access dimension and cognitive dimension. Both of them have relevance to get results because at the same time, ensure the correct data preservation. On the other side data management has to consider digital resources and digital artefacts and how they affect the process of preservation. In this chapter there are approaches with other authors referencing current and future studies. This chapter has been organized as follow. First in the introduction we can find ideas about the types of data in the different fields nowadays. Second, the main part, the proposal of methods in reference with other authors. Finally the conclusions and future projects based on the findings. This study focus on the development of framework, beginning with the methodology and projected through the application of specific patterns such a model for sustainable solution.	en_US
dc.relation.ispartof	Studies in Computational Intelligence	en_US
dc.relation.isbasedon	10.1007/978-3-319-15720-7_4	en_US
dc.subject.classification	Artificial Intelligence & Image Processing	en_US
dc.title	Digital patterns for heritage and data preservation standards	en_US
dc.type	Conference Proceeding
utslib.citation.volume	595	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	595	en_US

Abstract:

© Springer International Publishing Switzerland 2015. This research covers the digital preservation concept and the terms around this definition. According to this contextualization it is related with the management of data in the different fields but with the same issues and concerns. The appropriate way to keep information through the time is with preservation parameters. The managing of massive amounts of critical data involves designing, modeling, processing and implementation of accurate system. The methods for the treatment of data have to consider two dimensions that this chapter has focused: access dimension and cognitive dimension. Both of them have relevance to get results because at the same time, ensure the correct data preservation. On the other side data management has to consider digital resources and digital artefacts and how they affect the process of preservation. In this chapter there are approaches with other authors referencing current and future studies. This chapter has been organized as follow. First in the introduction we can find ideas about the types of data in the different fields nowadays. Second, the main part, the proposal of methods in reference with other authors. Finally the conclusions and future projects based on the findings. This study focus on the development of framework, beginning with the methodology and projected through the application of specific patterns such a model for sustainable solution.

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http://hdl.handle.net/10453/33417