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Governing Knowledge Commons$
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Brett M. Frischmann, Michael J. Madison, and Katherine J. Strandburg

Print publication date: 2014

Print ISBN-13: 9780199972036

Published to Oxford Scholarship Online: November 2014

DOI: 10.1093/acprof:oso/9780199972036.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 27 November 2021

Commons at the Intersection of Peer Production, Citizen Science, and Big Data:

Commons at the Intersection of Peer Production, Citizen Science, and Big Data:

Galaxy Zoo

(p.209) 6 Commons at the Intersection of Peer Production, Citizen Science, and Big Data
Governing Knowledge Commons

Michael J. Madison

Oxford University Press

This chapter applies the knowledge commons research framework to research in modern astronomy. The case that it examines, Galaxy Zoo, is a leading example simultaneously of a successful global citizen science project; of peer production (sometimes known colloquially as crowdsourcing); and of data-intensive science, sometimes referred to as e-science or Big Data science. Galaxy Zoo scientists and volunteers have organized themselves and massive quantities of observational data about the universe in ways that are well suited to study as a case of commons. Galaxy Zoo has applied techniques of knowledge sharing and collaboration to produce unprecedented insights about galaxies. Examining Galaxy Zoo as a case of commons several additional questions to pursue in further commons investigation.

Keywords:   Knowledge commons, citizen science, peer production, crowdsourcing, Big Data, data-intensive science, Galaxy Zoo

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