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Planning the digitisation, storage and access of large scale audiovisual archives

Planning the digitisation, storage and access of large scale audiovisual archives
Planning the digitisation, storage and access of large scale audiovisual archives
This paper presents ongoing work in PrestoSpace on how broadcast archives can plan large-scale, long-term digitization and storage projects. In our approach, carrier decay, technical obsolescence, and rapidly falling costs of mass storage are represented as a series of statistical and predictive models. The models include ongoing migration within a digital archive. The objective is to allow archive managers to investigate the trade-offs between how many items to transfer, the cost of transfer and storage, how long it will take, what quality can be achieved, how much will be lost, and what digital storage solutions to adopt over time. The process and models are based on digitization projects conducted by large broadcast archives that are currently migrating their collections into digital form. Whilst our focus is on broadcast archives, our findings should be readily transferable to other scenarios where there is a need to store large volumes of digital data over long periods of time.
Addis, M. J.
b0c0a68b-940e-42d0-ace2-bc297dee07f7
Choi, F.
84a02e1a-1e96-4c46-8746-1f3447225dbf
Miller, A.
5277ddda-40c9-44a6-965a-6ebfb41919c2
Addis, M. J.
b0c0a68b-940e-42d0-ace2-bc297dee07f7
Choi, F.
84a02e1a-1e96-4c46-8746-1f3447225dbf
Miller, A.
5277ddda-40c9-44a6-965a-6ebfb41919c2

Addis, M. J., Choi, F. and Miller, A. (2005) Planning the digitisation, storage and access of large scale audiovisual archives. Ensuring Long-term Preservation and Adding Value to Scientific and Technical data (PV 2005). 21 - 23 Nov 2005.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents ongoing work in PrestoSpace on how broadcast archives can plan large-scale, long-term digitization and storage projects. In our approach, carrier decay, technical obsolescence, and rapidly falling costs of mass storage are represented as a series of statistical and predictive models. The models include ongoing migration within a digital archive. The objective is to allow archive managers to investigate the trade-offs between how many items to transfer, the cost of transfer and storage, how long it will take, what quality can be achieved, how much will be lost, and what digital storage solutions to adopt over time. The process and models are based on digitization projects conducted by large broadcast archives that are currently migrating their collections into digital form. Whilst our focus is on broadcast archives, our findings should be readily transferable to other scenarios where there is a need to store large volumes of digital data over long periods of time.

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More information

Published date: 2005
Additional Information: Event Dates: 21-23 November 2005
Venue - Dates: Ensuring Long-term Preservation and Adding Value to Scientific and Technical data (PV 2005), 2005-11-21 - 2005-11-23
Organisations: Electronics & Computer Science, IT Innovation

Identifiers

Local EPrints ID: 262231
URI: https://eprints.soton.ac.uk/id/eprint/262231
PURE UUID: 69424658-8537-4104-9b0b-8d4a700c4841

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Date deposited: 31 Mar 2006
Last modified: 18 Jul 2017 08:53

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