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From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories

Identifieur interne : 000672 ( Istex/Corpus ); précédent : 000671; suivant : 000673

From Shared Databases to Communities of Practice: A Taxonomy of Collaboratories

Auteurs : Nathan Bos ; Ann Zimmerman ; Judith Olson ; Jude Yew ; Jason Yerkie ; Erik Dahl ; Gary Olson

Source :

RBID : ISTEX:AAA9DFC8AFB0779B6087B6775C4D26F02AE9B368

Abstract

Promoting affiliation between scientists is relatively easy, but creating larger organizational structures is much more difficult, due to traditions of scientific independence, difficulties of sharing implicit knowledge, and formal organizational barriers. The Science of Collaboratories (SOC) project conducted a broad five‐year review to take stock of the diverse ecosystem of projects that fit our definition of a collaboratory and to distill lessons learned in the process. This article describes one of the main products of that review, a seven‐category taxonomy of collaboratory types. The types are: Distributed Research Centers, Shared Instruments, Community Data Systems, Open Community Contribution Systems, Virtual Communities of Practice, Virtual Learning Communities, and Community Infrastructure Projects. Each of the types is defined and illustrated with one example, and key technical and organizational issues are identified.

Url:
DOI: 10.1111/j.1083-6101.2007.00343.x

Links to Exploration step

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<affiliation>Ann Zimmerman is a research fellow in the School of Information at the University of Michigan. Her research interests include the design, use, and impact of cyberinfrastructure; the sharing and reuse of scientific data; and the effects of large‐scale collaborations on science policy and research management. Address: 1075 Beal Ave., Ann Arbor, MI 48109‐2112 USA</affiliation>
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<affiliation>Jason Yerkie is a strategic research consultant with the Sales Executive Council at the Corporate Executive Board. His research interests are the organizational and financial performance impacts of business process re‐engineering initiatives and decision support systems in Global 1000 companies. Address: 2000 Pennsylvania Ave. NW, Suite 6000, Washington, D.C. 20006 USA</affiliation>
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