Ten simple rules for responsible big data research
PLoS Comput Biol
.
2017 Mar 30;13(3):e1005399.
doi: 10.1371/journal.pcbi.1005399.
eCollection 2017 Mar.
Authors
Matthew Zook
1
,
Solon Barocas
2
,
Danah Boyd
2
3
,
Kate Crawford
2
4
,
Emily Keller
3
,
Seeta Peña Gangadharan
5
,
Alyssa Goodman
6
,
Rachelle Hollander
7
,
Barbara A Koenig
8
,
Jacob Metcalf
9
,
Arvind Narayanan
10
,
Alondra Nelson
11
,
Frank Pasquale
12
Affiliations
1
Department of Geography, University of Kentucky, Lexington, Kentucky, United States of America.
2
Microsoft Research, New York, New York, United States of America.
3
Data & Society, New York, New York, United States of America.
4
Information Law Institute, New York University, New York, New York, United States of America.
5
Department of Media and Communications, London School of Economics, London, United Kingdom.
6
Harvard-Smithsonian Center for Astrophysics, Harvard University, Cambridge, Massachusetts, United States of America.
7
Center for Engineering Ethics and Society, National Academy of Engineering, Washington, DC, United States of America.
8
Institute for Health Aging, University of California-San Francisco, San Francisco, California, United States of America.
9
Ethical Resolve, Santa Cruz, California, United States of America.
10
Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America.
11
Department of Sociology, Columbia University, New York, New York, United States of America.
12
Carey School of Law, University of Maryland, Baltimore, Maryland, United States of America.
PMID:
28358831
PMCID:
PMC5373508
DOI:
10.1371/journal.pcbi.1005399
No abstract available
Publication types
Editorial
Research Support, Non-U.S. Gov't
MeSH terms
Computational Biology
Financial Management
Guidelines as Topic*
Societies, Scientific / organization & administration*
Grants and funding
P20 HG007243/HG/NHGRI NIH HHS/United States