Humanities perspectives on digital scholarship
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Humanities perspectives on digital scholarship
Dual levels of significance in Australian historical data: the case for equilibrium
Dr Craig BellamyAnalyst Digital HumanitiesSecretary: Australasian Association for Digital Humanities
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• What is historical significance?
• What is historical significant data?
• What is a ‘dual level of historical significant data? (and why this is important for preservation)
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Historical significance
• Significance is a debate!• Centred upon a community• Different levels of significance (ie.
local, regional, national, international; academic and public communities)
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4http://www.versi.edu.au/
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Does digitisation make something more historically significant?
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Sometimes...
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Value-adding...
• Locatable (ANDS)• Reusable (Open Data: API, RDF,
XML TEI• Machine Readable: data of more
value when combined with other data
..and People (the Digital Humanities)
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http://trove.nla.gov.au/result?q=8+hour+day
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Adding a scholarly layer...
• Data doesn’t ‘speak for itself’; it can be secondary or primary evidence about historical phenomena (contextual metadata important)
• It doesn't exist outside of interpretation (ie. expert knowledge).Better systems need to be developed to aid re-use and interpretation (ie. facsimile copies often don’t aid in interpretation)
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http://www.pachube.com 16
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17http://www-958.ibm.com/software/data/cognos/manyeyes/
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18http://www-958.ibm.com/software/data/
cognos/manyeyes/
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http://criminalintent.org/getting-started/
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20http://www.nytimes.com/2011/08/18/books/old-bailey-trials-are-
tabulated-for-scholars-online.html
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http://www.versi.edu.au/ 21http://www.guardian.co.uk/uk/interactive/2011/dec/07/london-riots-twitter
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Use creates significance...
• We are at a time of experimentation (lots of different standards and approaches to using data) (make data available in the most useable way possible).
• Data document’s better than ‘published’ PDFs etc. (they are OK if it is just one individual reader, but often we need a computer to read and manipulate data for new types of research)
• Individual approaches (ie. ‘focussed systems’) often easier to use than broader approaches
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Closing comments: Old data in new bottles?
• Unless data is discoverable and usable; there is little reason that it should be online as it can’t be built upon and advanced
• Use of Data helps sustainability (many barriers to open access)
• People create ‘significance’ through turning data into knowledge and wisdom...(many epistemological issues; quantitative research etc.)
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• Questions?