school of information university of michigan success factors for collaboratories gary m. olson...
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SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Success Factors for Collaboratories
Gary M. OlsonCollaboratory for Research on Electronic Work
School of Information
University of Michigan
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Background
• UM experience – roughly a dozen collaboratory projects– Some examples
• UARC/SPARC – upper atmospheric physics• Great Lakes CFAR – HIV/AIDS research• NeesGrid – earthquake engineering
• Science of Collaboratories Project
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Science of Collaboratories
• Goals– Comparative analysis of collaboratory projects– Extraction of general principles and design methods
• Apply and test with new emerging projects
– Creation of Collaboratory Knowledge Base• Methods
– Data base of collaboratories• Collaboratories at a Glance (more than 80 so far)• In-depth studies (4 completed, up to 20 as goal)
– Invitational workshops• 3 held so far
– Web site: www.scienceofcollaboratories.org
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Definition
• A collaboratory is– An organizational entity– That links a community of individuals– Working at a distance– On common problems or tasks…
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Definition
• …that contains– Electronic tools that support– Rich and recurring human interaction and– Provides common access to resources,
including information and instrumentation, needed to engage in the problems or tasks.
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
CollaboratoryCollaboratory
DigitalLibraries, E-Pub
access toinformation
access to facilities
people-to-peopleCommunication,
GroupwareServices
Distributed,media-richinformationtechnology
Interaction withthe Physical
World
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Kinds of Collaboratories• Research focus
– Distributed Research Center– Shared instrumentation– Community Data Systems
• Practice focus– Virtual Community of Practice– Virtual learning community– Expert consultation
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Distributed Research Center
• Functions like a University research center, but at a distance.
• Project is unified by a topic area of interest, and includes a number of joint projects in that area.
• Most communication human-human• No well specified product as the focus
• Alliance for Cell Signaling
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Shared Instrument
• Increases access to a scientific instrument
• Often remote access to an expensive instrument
• Often supplemented with other technology to support communication
• Keck observatory
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Community Data System
• Information resource that is created, maintained, or improved by a distributed community
• Information is semi-public, of wide interest.
• Cell signaling molecule pages
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Virtual Community of Practice
• A network of individuals who share a research area and communicate about it online
• Share news of professional interest, advice, techniques.
• Not focused on joint projects
• Ocean US
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Virtual Learning Community
• Main focus is on increasing the knowledge of the participants– Not to do original research
• Can be inservice or professional development
• Ecological Circuitry Laboratory
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Expert Consultation
• Provides increased access to an expert or set of experts
• The flow of information is mainly one way, rather than two way as in a distributed center
• TeleInViVo
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Success Factors
• Success is a complex concept (73 different ideas)– Use of tools (10)– Software technology (3)– Direct effects on science (33)– Science careers (3)– Effects on learning, science education (12)– Inspiration for other collaboratories (3)– Learning about collaboratories (2)– Effects on funding, public perception (7)
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Success Factors
• Hard to measure many of these kinds of success– Projects poorly documented– Goals better documented than outcomes– What were the “real” outcomes?
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Lessons Learned
• Readiness– Collaboration readiness– Infrastructure readiness– Collaboration technology readiness
• Funding models
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Collaboration Readiness
• Some disciplines, specialties, or organizations naturally share, others do not
• What are the incentives for sharing?
• Mechanisms for sharing– Informal: Trust– Formal: Covenants, rules of the road
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Collaboratories at Risk
• Collaborations that arise for exogenous reasons– Funding draw– Funder mandate
• Competition stronger than cooperation– Rivalries – individual or organizational
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Infrastructure Readiness
• Technical– Networking– Services– Homogeneity vs. heterogeneity
• E.g., Wintel vs Mac vs Unix
• Social– Technical support– Administrative control of it
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Collaboration Technology
Readiness• email• attachments• using repositories• calendaring • creating repositories Need training in
• hand-off collaboration technologies AND
• synchronous collaboration how to collaborate
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
Funding Models
• How does the money flow?
• What are its sources?
• Who has control of it?
• Conjecture – this will be another success factor