Data Supply Chains

The Social, Cultural & Ethical Dimensions of “Big Data,” March 2014

8 Pages Posted: 16 Dec 2014 Last revised: 30 Dec 2014

See all articles by Tamara Kneese

Tamara Kneese

University of San Francisco; Data & Society Research Institute

Alex Rosenblat

Data & Society Research Institute

Danah Boyd

Data & Society Research Institute; Microsoft Research

Date Written: March 17, 2014

Abstract

As data moves between actors and organizations, what emerges is a data supply chain. Unlike manufacturing supply chains, transferred data is often duplicated in the process, challenging the essence of ownership. What does ethical data labor look like? How are the various stakeholders held accountable for being good data guardians? What does clean data transfer look like? What kinds of best practices can business and government put into place? What upstream rights to data providers have over downstream commercialization of their data?

Keywords: supply chains, data, big data, ownership, remedy, data transfer, data practices, data commercialization

Suggested Citation

Kneese, Tamara and Rosenblat, Alex and Boyd, Danah, Data Supply Chains (March 17, 2014). The Social, Cultural & Ethical Dimensions of “Big Data,” March 2014. Available at SSRN: https://ssrn.com/abstract=2538593 or http://dx.doi.org/10.2139/ssrn.2538593

Tamara Kneese

University of San Francisco ( email )

2130 Fulton Street
San Francisco, CA 94117
United States

Data & Society Research Institute ( email )

36 West 20th Street
11th Floor
New York,, NY 10011
United States

Alex Rosenblat

Data & Society Research Institute ( email )

36 West 20th Street
New York,, NY
United States

HOME PAGE: http://www.datasociety.net

Danah Boyd (Contact Author)

Data & Society Research Institute ( email )

36 West 20th Street
11th Floor
New York,, NY 10011
United States

HOME PAGE: http://www.datasociety.net

Microsoft Research ( email )

One Memorial Drive, 12th Floor
Cambridge, MA 02142
United States

HOME PAGE: http://research.microsoft.com/

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