1. DART: Drivers, Design, Dimensions, Demonstrators and Deliverables
Dr Andrew Treloar
DART Project Architect
ARROW Technical Architect
Director, Information Management and Strategic Planning, ITS, Monash University

2. But first, a word from our sponsors…
The DART project has been funded by the Australian Commonwealth Department of Education, Science and Training through to the end of 2006.
The funding has been provided through the Systemic Infrastructure Initiative as part of the Commonwealth Government's Backing Australia's Ability - An Innovation Action Plan for the Future.

3. DART Drivers

4. Grid 5 Virtual Learning Environment Digital Library E-Experimentation
E-Scientists
Entire E-Science Cycle Encompassing experimentation, analysis, publication, research, learning 5
Institutional Archive
Local Web
Publisher Holdings
Digital Library
Graduate Students
Undergraduate Students
Virtual Learning Environment
E-Experimentation
Technical Reports
Reprints
Peer-Reviewed Journal & Conference Papers
Preprints & Metadata
Certified Experimental Results & Analyses
Data, Metadata & Ontologies
Source: Liz Lyon, eBank UK Presentation

5. Theoretical Framework: Pathways Model
Reconceptualises units of communication and processes of communication
Non-vertically-integrated value chain perspective on scholarly communication
Van de Sompel, et. al. (2004), “Rethinking Scholarly Communication: Building the System that Scholars Deserve”, DLib Magazine, V10, N4

6. Pathways Functions DART: Research Process Registration
allows claims of precedence for a scholarly finding
Certification
establishes the validity of a registered scholarly claim
Awareness
allows actors in the scholarly system to remain aware of new claims and findings
Archiving
preserves the scholarly record over time
Rewarding
rewards actors based on metrics derived from communication system.
DART: Annotation

7. DART Benefits (modified Pathways model)

8. DART Design

9. DART Overview
Co-ordinated programme of e-Research requirements analysis, software development, policy and guideline creation and prototyping to investigate how best to deal with
large data sets
infrastructural issues
deposit, access, and annotation
intellectual property concerns
next-generation methods for research publication and access

10. Design Criteria Initially:
Identify best-of-breed solutions in each candidate area
Standards-based
Open-source wherever possible
Leverage existing work and expertise
Don’t re-invent the wheel
Later, identify common frameworks for
Security
Network transport
Integration

13. DART Dimensions

14. DART Dimensions $A3.23 million
3 partners (Monash - Principal Institution, JCU, UQ)
12 months
Ends in Dec 2006
27 Separate work packages
Data Collection, Monitoring and Quality Assurance (DMQ)
Annotation and Assessment (AA)
Storage and Interoperability (SI)
Content and Rights (CR)
Discovery and Access (DA)
40 staff

15. Seven DART Chief Investigators
Andrew Treloar Asad Khan David Abramson Ann Monotti
6 WPs WPs WPs WP
Jane Hunter Xiaofang Zhou
6 WPs WPs
Ian Atkinson
5 WPs

16. DART Demonstrators

17. DART Demonstrators
Designed to show value of the end-to-end DART lifecycle approach:
Identify researchers
Specify realistic activity sequences
Embed Information Management specialists in the research teams
Construct iterative DART prototypes
Progressively refine prototypes as DART delivers increased functionality
Design customized DART portals for each discipline

19. DART Deliverables

20. DART Deliverables By end of 2006 DART aims to deliver:
Working proof-of-concept software in each of the work package areas
Clear understanding of how to turn this proof-of-concept functionality into robust production systems
Feedback from demonstrator researchers about the value of the DART integrated lifecycle approach
Reports detailing recommended best practice in a number of areas

21. Acknowledgements: Questions? J U C Q U
Without the hard work of all these people, DART just wouldn’t happen! J C U U Q
Questions?
its.monash.edu.au M U