Tag Archives: Jane Hunter

VALA2010 Session 9 Hunter

VALA20120The Aus-e-Lit project: advanced e research services for scholars of Australian literature

VALA 2010 CONCURRENT SESSION 9 – Automation
Wednesday 10 February 2010 14:20 – 14:50
Persistent URL: http://www.vala.org.au/vala2010-proceedings/vala2010-session-9-hunter

VALA Peer Reviewed PaperJane Hunter

eResearch Centre, School of ITEE, University of Queensland
http://itee.uq.edu.au

Anna Gerber

eResearch Centre, School of ITEE, University of Queensland
http://itee.uq.edu.au

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    VALA2010 Session 9 Hunter Paper 631.25 KB
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Abstract

For the past eighteen months, the eResearch Lab at the University of Queensland has been working with the Australian Literature community on the Aus-e-Lit project. Aus-e-Lit is a cross-disciplinary collaboration that is developing eResearch tools for scholars of Australian literature who are members of the AustLit consortium. The AustLit Web portal provides access to a comprehensive bibliographic and full-text collection that is considered the peak resource for scholars of Australian literary heritage. The portal also provides a mechanism for the dissemination and deployment of the eResearch services that we have developed and that are described in this paper. These include: text processing services, federated search services, annotation services, compound object authoring tools and advanced visualisation services.

VALA2006 Session 2 Hunter

VALA2006Scientific models – a user-oriented approach to the integration of scientific data and digital libraries

VALA 2006 CONCURRENT SESSION 2: Digital Repositories
Wednesday 8 February 2006, 10:45 – 11:15
Persistent URL: http://www.vala.org.au/vala2006-proceedings/vala2006-session-2-hunter

VALA Peer Reviewed PaperJane Hunter

Professorial Research Fellow, Distributed Systems Technology Centre (DSTC), University of Queensland
Note: as of 30 June 2006 the DSTC is defunct.

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VALA2006 Session 2 Hunter Paper 163.18 KB
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VALA2006 Session 2 Hunter Podcast 10 MB

Abstract

Many scientific communities are struggling with the challenge of how to manage the terabytes of data they are producing, often on a daily basis. Scientific models are the primary method for representing and encapsulating expert knowledge in many disciplines. Scientific models could also provide a mechanism: for publishing and sharing scientific results; for teaching complex scientific concepts; and for the selective archival, curation and preservation of scientific data. As such, they also provide a bridge for collaboration between Digital Libraries and eScience. In this paper I describe research being undertaken within the FUSION project at the University of Queensland to enable scientists to construct, publish and manage scientific model packages that encapsulate and relate the raw data to its’ associated contextual and provenance metadata, processing steps, derived information and publications. This work involves extending tools and services that have come out of the Digital Libraries domain to support e-Science requirements.