great lakes regional center for aids research: 1998 - 2002
DESCRIPTION
Great Lakes Regional Center for AIDS Research: 1998 - 2002. Stephanie Teasley and Jason Yerkie School of Information University of Michigan. Outline. SOC functions Primary Secondary Description Goal History Organization Funding Incentives Collaboration needs Supporting needs - PowerPoint PPT PresentationTRANSCRIPT
SCHOOL OF INFORMATION .
UNIVERSITY OF MICHIGAN
Great Lakes Regional Center for AIDS Research:
1998 - 2002
Stephanie Teasley
and Jason Yerkie
School of InformationUniversity of Michigan
SCHOOL OF INFORMATION .UNIVERSITY OF MICHIGAN
Outline SOC functions
– Primary– Secondary
Description– Goal– History– Organization– Funding– Incentives– Collaboration needs– Supporting needs– Collaboration readiness
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Outline (cont.) Access Resource diagram Technology employed Successes and challenges Usage
– Analysis of user behavior– Analysis of user attitudes
Conclusions
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SOC functions
Primary– Distributed research center
Secondary– Shared instrument– Virtual community of practice
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Description: Goal
To create a “virtual center” for AIDS research, where science at the University of Michigan, University of Minnesota, Northwestern University and University of Wisconsin is conducted as if these labs were co-located– Complimentary technological or expertise-based
services– Educational opportunities for all members of the
participating labs.
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History
Extending the successes of UARC/ SPARC to the biomedical community
Use only off-the-shelf technologies First ever NIH CFAR grant to be virtual
center.
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Organization 10 Founding Scientists
– 2 MI– 4 MN– 3 NU– 2 WI
110 Members– 33 Full – 41 Associates– 24 Research Associates– 9 In training– 3 Affiliates
1 Behavioral Analyst + Research staff
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Funding
National Institutes of Health (NCI & NIAID; 5P30CA79458)– 19 Centers of AIDS Research– Only geographically distributed CFAR– approximately $5M per year, 1998-2002
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Incentives Funding
– No one site could have individually won a CFAR
Recognition– Highly visible in the AIDS community
Novel capabilities– Opportunity to collaborate with people that
they may not have worked with before
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Collaboration Needs Communication:
– Desktop video conferencing (1:1)– Virtual meetings (1:many)
Data Access– Transfer of data, databases, and images– Application sharing
Shared Authoring– Document collaboration
Distance education– Share expertise– Broadcast lectures and seminars
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Supporting Needs
Virtual Lab Meetings Virtual Seminars
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Collaboration Readiness
Technical All sites had Internet 2
– WI limited access, NU has firewall issues Multiple platforms: WinTel, Mac, and Unix Email adoption similar to biologists
– On average, scientists began using email: 1991 No prior experience using other CMC Phone and fax primary ways of communication
for long distance collaborations
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Collaboration Readiness (cont.)
Social (Founding Scientists n=10) 4 pre-existing within-site collaborations
– Communication: face-to-face 4 pre-existing cross-site collaborations
– All between two sites– Communication: phone and email
3.5 anticipated new collaborations– 1 new anticipated cross-site collaboration
One third of new collaborations with scientists who did not know each other
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Access: People
Virtual Lab Meetings– AIDS Researchers with complimentary
expertise and interests– Bench scientists and clinicians– Non-human primate researchers
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Virtual Lab Meeting
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Access: Information
Virtual Seminar Series– Presentations on pre-published work
Website– Directory of members and interests – Announcements and events– Portal for technical assistance and tips on
using collaboration tools
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Virtual Seminars
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Access: Instruments
Microscope at Minnesota – Real-time view of specimens from
microscope– Discussions with pathologist
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Resource Diagram
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Technology Employed (OTS) Virtual Lab Meetings
– Microsoft NetMeeting– Timbuktu– Virtual PC
Virtual Seminars– PlaceWare
Desktop Video– USB web cameras– iVisit
Data Sharing– Xerox Docushare
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Success and Challenges Membership
– 110 members out of a possible 171 (64%) Virtual Lab Meeting
– Clinical Protocol Development- written faster, got funded, study produced two high quality publications (so far)
Virtual Seminars– 75% of membership participation in at least 1 seminar
Developmental Awardees– Leading to Prestigious RO1 Funding
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Case-Study of Founding Scientists
Surveys, interviews, observations, and bibliographic analysis
Focused on:– Satisfaction with tools– Reported Collaborations– Impact on scholarly work
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Case-Study: Group Virtual Lab Meetings Lab site = presenter + 22 lab group
members 3 “local” colleagues in different buildings 3 remote sites = 2 collaborators and 1
scientific advisory board member (outside of the Great Lakes area)
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Case-Study: Scientist-to-Scientist Virtual Lab Meetings
One-to-one interactions in real time Regularly scheduled meeting time Focused interaction over shared data Accelerates study design, data analysis
and review, presentation preparation Trouble shoot problems as they occur
(e.g., protocol changes, subject recruitment, sample processing)
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Case-Study: Satisfaction with Virtual Lab Meetings*
*Survey administered after the first 3 meetings (n=16)
0% 25% 50% 75% 100%
Managing the technology gets in the way oflearning about the science during the meeting.
I prefer to use collaboration technology for myCFAR meetings
The goals of the meeting were accomplished.
Strongly Disagree/Disagree
Neutral
Agree/Strongly Agree
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Case-Study: Satisfaction with Virtual Lab Meetings (cont.) "The active participation of investigators
looking at tissues is akin to the free-association process of a good lab meeting.”
"Never seen such detail results of lymph tissue, especially on-line. Had a chance to discuss quality control of specimen processing”
"Major enhancement --- allows for a whole new level of discussion and analysis between PIs."
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Case-Study: Reported Collaborations*
*at end of Year 3
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Case-Study: Reported Collaborations (cont.)
NU MN
WI
Vaccine & Other Prevention R&D:
Identification of MHC restricted epitopes
Therapeutic R & D:
Primary infection and therapeutic interventionsEpidemiology &
Natural History:
*Genetic diversification of viruses
Pathogenesis:
Trafficking patterns of transduced cells in vivo
MI
Pathogenesis:Pathogenesis ofKaposi’s SarcomaPathogenesis of mucosal
transmission in acute SIV infection
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Case-Study: Impact on Scholarly Work
Grants 8 new grants funded
– 1 within-site grant, collaborators had not previously been funded together
– 5 grants involving collaborators across two sites• Only one of these grants involved collaborators who had
previous funding together
– 2 grants from 3 sites. • Prior to CFAR, there were no grants involving
collaborators across 3 sites.
1 additional grant pending with collaborators across two sites
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Case-Study: Impact on Scholarly Work (cont.)
Publications 14 new papers together
– 9 papers have same-site colleagues• all of these papers were founding scientists
who had published together before the GLR CFAR grant
– 5 papers have cross-site colleagues; • one paper represents a prior co-authored
publication
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General Membership: Example of Cross Site Authorship
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General Membership Study
Surveys, interviews, observations, and bibliographic analysis
Focused on:– Satisfaction with tools– Impact on scholarly work
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General Membership: Cumulative Membership
37
54
77
95
110111108106
90
0
20
40
60
80
100
120
August-99 December-99 April-00 August-00 December-00 April-01 August-01 December-01 April-02 August-02
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General Membership: Motivations for Joining
“Gain information about HIV research, contacts in the fields locally, and perhaps having funding opportunities available”
“Opportunity for effective collaboration” “Participation in research activities; promote
local and regional HIV research” “To take advantage of the shared resources
and to apply for a Developmental Award”
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General Membership: Scientific Productivity
Funding 64% increase in NIH funded research
base (context of 33% increase in overall AIDS-related research)
Developmental award winners:– 8 of 9 awardees received subsequent
funding– 4 went on to receive RO1 totaling $5.6M
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General Membership: Scientific Productivity (cont.)Publications September 1998 to March 2001 106 Members 558 Publications Top Five Journals (28% of total pubs)
– J. Virology– J. Infectious Diseases– J Immunology– AIDS– Infectious Immunology
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General Membership: Scientific Productivity (cont.)
Single author pub is CFAR member: 5% At least 2 authors CFAR members from
same site: 14% At least 2 authors CFAR members from
different sites: 1% One CFAR member author: 80%
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General Membership: Satisfaction with Virtual Seminar*
0% 20% 40% 60% 80% 100%
Attending the virtual seminar gave me access toinformation that I would not have received otherwise
I plan to attend future CFAR virtual seminars
The technology allowed me to participate in thisseminar as I would have had I been in the same room
as the speaker.
Managing the technology gets in the way of learningabout the science during the seminar
*Survey administered after first 5 seminars(n=36)
Strongly Disagree/Disagree
Neutral
Agree/Strongly Agree
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General Membership: Impact on Scholarly Work
Method: Pair-wise Survey (preliminary data) Respondents: 41
– 37% of total membership Total within site collaborations: 200 Total between site collaborations: 68 Total number of reported collaborators: 82
– 75% of total membership Average reported collaborators: 8.17
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General Membership: Impact on Scholarly Work (cont.)
Work in progress …under review …accepted …rejected Other Total
Within Site 157 30 100 10 42 339
Between Site
54 10 31 3 4 102
Totals 211 40 131 13 46 441
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General Membership: Impact on Scholarly Work (cont.)
“Provide ideas and access to lab techniques that our ACTU group doesn't have.”
“We are a small service organization with limited sets of hands, so collaborating with others definitely makes our job easier.”
“Colleagues with additional expertise in HIV/AIDS, including virology immunology. Colleagues with contacts to help develop and implement research proposals.”
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Advantages and Disadvantages of Distributed Research Center for
ScientistsPositive: More data
Negative: Greater need for new ways to keep track of shared data
Positive: Potentially more interaction with colleagues
Negative: – Greater need to coordinate schedules– Interactions less rich than f2f
Positive: Extends access to collaborator’s data
Negative: Even more data!!
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Some Key Findings Off-the-shelf technology can be used for an
effective collaboratory Where effective is…
– New collaborations created– Faster work (e.g., protocol development)– Support for junior members
Local technology support significantly increased the likelihood of use and adoption
Participation by site PI influences behavior of the members at that site
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Questions
Collaboratory support within the context of a “Distributed Research Center”…
Is it the technology or the social organization that influences behavior?
Can we tease these apart, and do we need to?
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Questions (cont.)
How to accurately assess effects:– Increase participation in assessments?– Legitimate control group?– Disentangle effects of participant
observers? (blurred distinction between analysts vs. service providers)