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Visualisation of hard drive content to support archival processes for personal digital archives
Author(s) -
Bartliff Zoe,
Kim Yunhyong,
Baxter Guy
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.329
Subject(s) - metadata , computer science , directory , visualization , digital content , world wide web , comprehension , content (measure theory) , multimedia , data mining , mathematical analysis , mathematics , programming language , operating system
This research explores visualisation of data for working with personal digital archives (PDA). Large scale PDAs, comprising content from several personal hard disk drive images, are not receptive to “open the box and take a look” approaches to appraisal traditionally adopted by analogue archives. By employing a Sunburst visualisation to represent file directory structures, this paper demonstrates that it is possible to gain an “at a glance” comprehension of content organisation and date distribution, whilst concurrently allowing for the dynamic and interactive exploration of information such as usage patterns, content metadata and original order relevant to archival appraisal processes.