Dickinson, Duncan and Sefton, Peter (2009) Creating an eResearch desktop for the Humanities. In: eResearch Australasia 2009, 9-13 Nov, Sydney, Australia.
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PDF (Author's Version of Extended Abstract)
The Australian Digital Futures Institute (ADFI) at the University of Southern Queensland (USQ) has been working with USQ’s Public Memory Research Centre (PMRC) to discover how public memory research can be assisted through desktop eResearch software that assists the researcher in connecting the components within their “Knowledge Network” of files, online resources, metadata, research notes and publications.
Leonie Jones from the PMRC has worked with Australian and Vietnamese servicemen to research the events of the Battle of Fire Support Base Coral to provide a point of reference in the ongoing narrative of Australian military history. “They'll come looking for you” is a 60-minute documentary that summarizes Jones' research and is the tip of the iceberg in terms of the artifacts brought together through this work which constitutes a wide array of public memory artifacts, including: video interviews, official texts, private diaries, photos and maps.
This partnership seeks to provide solutions for a range of questions encountered within the digital humanities and the broader eResearch effort:
(a) How to manage large amounts of information, including the very fundamental “Is it backed-up”
(b) How to coordinate tools used on the data;
(c) How to leverage concepts such as Linked Data without obstructing the researcher with technical intricacies; and
(d) How to move these research artifacts to the data commons.
The key to all of this is to treat everything as a web-resource from the moment it is created by developing a system that gives researchers a web-view of their own desktop or lab environment.
This presentation will introduce the desktop eResearch system, The Fascinator Desktop, and will demonstrate solutions to the questions posed above. Core to this demonstration will be: data and metadata storage, sharing and conversion technologies; taxonomy-based tagging; and automated object grouping.
Statistics for this ePrint Item
|Item Type:||Conference or Workshop Item (Commonwealth Reporting Category E) (Lecture)|
|Item Status:||Live Archive|
|Additional Information:||Unpublished. Authors retain copyright.|
|Faculty / Department / School:||Current - Australian Digital Futures Institute|
|Date Deposited:||11 Nov 2009 01:29|
|Last Modified:||02 Jul 2013 23:29|
|Uncontrolled Keywords:||eResearch; research; researchers; desktop; Humanities; Australian Digital Futures Insititute; University of Southern Queensland|
|Fields of Research :||08 Information and Computing Sciences > 0807 Library and Information Studies > 080707 Organisation of Information and Knowledge Resources
08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
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