An overview of UWS data support and outreach presented at the ANDS 'Open Data, Data Reuse and Research Impact' forum, November 2014.

1. Data are the New Black
Susan Robbins
Research Services Coordinator
University of Western Sydney Library
s.robbins@uws.edu.au
http://library.uws.edu.au/uws_library/
Open Data, Data Reuse and Research Impact
ANDS November 2014
CC-BY-NC Susan Robbins

2. University of Western Sydney
• 6 campuses. Same geographic footprint as The Netherlands
• Growing our research culture
• Named one of the world's best 100 universities under 50
(Times Higher Education ranking)
• Dedicated Library support for Research since 2006

3. Library support for data began with ANDS Projects
Data Capture
Seeding The Commons
Metadata Stores

4. Centre for Western Sydney

5. Big Picture Library Data Support at UWS
Library as a key stakeholder
• Collaborate with stakeholders to ensure buy-in at all
levels -DVR (R & D) office, eResearch, Research office
(inc. ethics), researchers/research students, research
support staff, Facility managers
• Facilitate culture change through researcher
education and communication
• Informed Library Staff act as data triage point
(staff on email lists and attend divisional events)

6. Specific Library Support
• Data Information on Library webpages
• Induction Appointments (researchers & research students)
• On demand & point of need training
• Open Access Week webinars (Western Sydney Portal & Journal data)
• Emailed previous UWS researchers with PLoS pubs to outline new polices
& UWS support
• Email grant recipient @ Project Cost code creation stage outlining support
from Library & eResearch
• Drafted generic ARC UWS data management para for grant applicants and
follow up support
• Advice on how data sharing may assist measuring impact outside
academia

7. Roadblocks to Researcher Engagement
• Information/Communication Overload
(utilise preferred senders and initiate contact at point of need)
• Ethics (ethics forms need to be more ‘sharing’ friendly)
• Resistance to formal data management & data
sharing (use ‘carroty stick’ Outline why beneficial first - then
what they are required to do to comply with UWS Data Management policy,
ARC data policy, journal data requirements

8. Gotchas
• Big Data
(storage & working data)
• Off campus & collaborator data access
• Data DOIs
(DOIs are like puppies, they’re forever, not just for Christmas -PT Sefton)
• Time lag between identified service or
resource need and implementation

9. Questions