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SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN Success Factors for Collaboratories Gary M. Olson Collaboratory for Research on Electronic Work School of Information University of Michigan

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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

Key

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Distributed Center

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Shared Instrument

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Community Data System

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Virtual Community of Practice

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Virtual Learning Community

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Expert Consultation

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

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

Two Examples

SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN

What Brings Success?

• It’s not just the technology

• Social and organizational factors surrounding the selection, deployment, and use of technology will be key