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Preserving Our Digital Heritage: Information Systems for Data Management and Preservation
It is essential that we develop effective systems for the management and preservation of digital heritage data. This chapter outlines the key issues surrounding access, sharing and curation, and describes current efforts to establish research infrastructures in a number of countries. It aims to provide a detailed overview of the issues involved in the creation, ingest, preservation and dissemination of 3D datasets in particular. The chapter incorporates specific examples from past and present Archaeology Data Service (ADS) projects and highlights the recent work undertaken by the ADS and partners to specify standards and workflows in order to aid the preservation and reuse of 3D datasets.
Microsoft Academic Graph classification: World Wide Web Data management business.industry business Data science Work (electrical) Information system Digital heritage Workflow Reuse Key issues Engineering Data as a service
Microsoft Academic Graph classification: World Wide Web Data management business.industry business Data science Work (electrical) Information system Digital heritage Workflow Reuse Key issues Engineering Data as a service
- University of York United Kingdom
- Glasgow School of Art United Kingdom
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Alcala, F., Alcocer, A., Alves, F., Bale, K., Bateman, J., Caiti, A., et al. (2008). VENUS (Virtual ExploratioN of Underwater Sites) two years of interdisciplinary collaboration. In: Proceedings of VSMM'08 Conference on Virtual Systems and Multimedia Dedicated to Digital Heritage, (pp. 250-258) Cyprus, Limassol: VSMM
Austin, T. & Mitcham, J. (2007). Preservation and management strategies for exceptionally large data formats: 'Big Data', Archaeology data service. Retrieved 14 Nov 2012 from http:// archaeologydataservice.ac.uk/attach/bigData/bigdata_final_report_1.3.pdf
Austin, T., Mitcham, J. & Richards, J.D. (2008). From questions to answers; outcomes from the 'Big Data project' in Layers of Perception. In: A. Posluschny, K. Lambers, I. Herzog (Eds.), Proceedings of the 35th International Conference on Computer Applications and Quantitative Methods in Archaeology (CAA) Berlin, Germany (pp. 194-199), April 2-6, 2007, 2008, Kolloquien zur Vor- und Frahgeschichte Band 10, Bonn. Retrieved 14 Nov 2012 from http:// archiv.ub.uni-heidelberg.de/propylaeumdok/volltexte/2010/497pdf/06_04_austin_et_al_ bigdata.pdf [OpenAIRE]
Austin, T., Bateman, J., Jeffrey, S., Mitcham, J. & Niven, K. (2009). Marine remote sensing and photogrammetry: A guide to good practice. In K. Niven (Ed.), Archaeology data service. Retrieved 14 Nov 2012 from http://guides.archaeologydataservice.ac.uk/g2gp/VENUS_Toc
Bewley, R., Donoghue, D., Gaffney, V., van Leusen, M., & Wise, A. (1998). Archiving aerial photography and remote sensing data: A guide to good practice. AHDS guides to good practice. Oxford: Oxbow Books. Retrieved 14 Nov 2012 from http://ads.ahds.ac.uk/project/ goodguides/apandrs/
Binding, C., May, K., & Tudhope, D. (2008). Semantic interoperability in archaeological datasets: Data mapping and extraction via the CIDOC CRM. Lecture Notes in Computer Science, 5173, 280-290.
Binding, C. (2010). Implementing archaeological time periods using CIDOC CRM and SKOS. Lecture Notes in Computer Science, 6088, 273-287.
Buckland, P. I., Eriksson, E., Linderholm, J., Viklund, K., Engelmark, R., Palm, F., et al. (2011). Integrating human dimensions of Arctic palaeoenvironmental science: SEAD - the strategic environmental archaeology database. Journal of Archaeological Science, 38(2), 345-351.
CCSDS (2012). Consultative committee for space data systems (CCSDS) reference model for an open archival information system (OAIS). CCSDS 650.0-M-2, Magenta Book, Issue 2, June 2012. Retrieved 29 Nov 2012 from http://public.ccsds.org/publications/archive/650x0b1.pdf
Drap, P. (2009). VENUS: Virtual exploration of underwater sites: Port-miou C wreck, Marseille. Archaeology Data Service. Retrieved 14 Nov 2012, doi:10.5284/1000004 [OpenAIRE]
- University of York United Kingdom
- Glasgow School of Art United Kingdom
It is essential that we develop effective systems for the management and preservation of digital heritage data. This chapter outlines the key issues surrounding access, sharing and curation, and describes current efforts to establish research infrastructures in a number of countries. It aims to provide a detailed overview of the issues involved in the creation, ingest, preservation and dissemination of 3D datasets in particular. The chapter incorporates specific examples from past and present Archaeology Data Service (ADS) projects and highlights the recent work undertaken by the ADS and partners to specify standards and workflows in order to aid the preservation and reuse of 3D datasets.