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

Madison, Michael J (2014) Commons at the Intersection of Peer Production, Citizen Science, and Big Data: Galaxy Zoo. In: UNSPECIFIED UNSPECIFIED. ISBN UNSPECIFIED

Preview	PDF Available under License : See the attached license file. Download (750kB) | Preview
	Plain Text (licence) Available under License : See the attached license file. Download (1kB)

Abstract

The knowledge commons research framework is applied to a case of commons governance grounded in research in modern astronomy. The case, Galaxy Zoo, is a leading example of at least three different contemporary phenomena. In the first place Galaxy Zoo is a global citizen science project, in which volunteer non-scientists have been recruited to participate in large-scale data analysis via the Internet. In the second place Galaxy Zoo is a highly successful example of peer production, sometimes known colloquially as crowdsourcing, by which data are gathered, supplied, and/or analyzed by very large numbers of anonymous and pseudonymous contributors to an enterprise that is centrally coordinated or managed. In the third place Galaxy Zoo is a highly visible example of data-intensive science, sometimes referred to as e-science or Big Data science, by which scientific researchers develop methods to grapple with the massive volumes of digital data now available to them via modern sensing and imaging technologies. This chapter synthesizes these three perspectives on Galaxy Zoo via the knowledge commons framework.

---

Share

Citation/Export:	Select format... Citation - Text Citation - HTML Endnote BibTex Dublin Core OpenURL MARC (ISO 2709) METS MODS EP3 XML Reference Manager Refer
Social Networking:	Share |

---

Details

Item Type:	Book Section
Creators/Authors:	Creators Email Pitt Username ORCID Madison, Michael J madison@pitt.edu MADISON 0000-0001-6503-754X
Date:	2014
Date Type:	Publication
Schools and Programs:	School of Law > Law School of Law > Law > Faculty Publications
Refereed:	Yes
Uncontrolled Keywords:	commons, common, pools, governance, public, goods, information, knowledge, intellectual, property, patent, pools, Big, Data, data-intensive, science, crowdsourcing, citizen, science, Galaxy, Zoo, Zooniverse
Related URLs:	SSRN
Date Deposited:	18 Aug 2016 19:22
Last Modified:	14 Mar 2021 11:01
URI:	http://d-scholarship.pitt.edu/id/eprint/28759

---

Metrics

Monthly Views for the past 3 years

Plum Analytics

---

Actions (login required)

View Item