CLC number: G250.76; TP319
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-09-14
Cited: 1
Clicked: 7678
Chao Li, Xiao-hui Zheng, Xing Meng, Li Wang, Chun-xiao Xing. A methodology for measuring the preservation durability of digital formats[J]. Journal of Zhejiang University Science C, 2010, 11(11): 872-881.
@article{title="A methodology for measuring the preservation durability of digital formats",
author="Chao Li, Xiao-hui Zheng, Xing Meng, Li Wang, Chun-xiao Xing",
journal="Journal of Zhejiang University Science C",
volume="11",
number="11",
pages="872-881",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1001006"
}
%0 Journal Article
%T A methodology for measuring the preservation durability of digital formats
%A Chao Li
%A Xiao-hui Zheng
%A Xing Meng
%A Li Wang
%A Chun-xiao Xing
%J Journal of Zhejiang University SCIENCE C
%V 11
%N 11
%P 872-881
%@ 1869-1951
%D 2010
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1001006
TY - JOUR
T1 - A methodology for measuring the preservation durability of digital formats
A1 - Chao Li
A1 - Xiao-hui Zheng
A1 - Xing Meng
A1 - Li Wang
A1 - Chun-xiao Xing
J0 - Journal of Zhejiang University Science C
VL - 11
IS - 11
SP - 872
EP - 881
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1001006
Abstract: It is now widely recognized that appropriate measures are required for digital preservation to ensure that digital data can be accessed and used currently and in the future. Among all the risks of digital preservation, format obsolescence is one of the most important. There have been several projects or initiatives dealing with the measurement method of format obsolescence risk, but there has been no mechanism to quantify the preservation risk or durability of digital formats based on a self-improving assessment model, executed with the aid of computers. This paper deals with a methodology for measuring the preservation durability of digital formats, especially for their risk assessment. This method is based on a quantitative assessment model for format risk, and can shift the non-quantifiable knowledge or experiences of field experts to a machine identifiable and processible form, or ‘risk scores’. Results can be recognized and communicated by computers automatically and formally, which can assist in the automatic/semi-automatic risk management for digital preservation, sharing this quantified knowledge among communities. Because technologies are changing quickly, the quantitative assessment model for risks will not be a status quo situation. Thus, also presented is a method to fine tune the quantitative assessment model for risk of formats through a self-learning and self-improving style.
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