Ten simple rules for responsible big data research

Author(s): Zook, M; Barocas, S; Boyd, D; Crawford, K; Keller, E; et al

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DC Field	Value	Language
dc.contributor.author	Zook, M	-
dc.contributor.author	Barocas, S	-
dc.contributor.author	Boyd, D	-
dc.contributor.author	Crawford, K	-
dc.contributor.author	Keller, E	-
dc.contributor.author	Gangadharan, SP	-
dc.contributor.author	Goodman, A	-
dc.contributor.author	Hollander, R	-
dc.contributor.author	Koenig, BA	-
dc.contributor.author	Metcalf, J	-
dc.contributor.author	Narayanan, Arvind	-
dc.contributor.author	Nelson, A	-
dc.contributor.author	Pasquale, F	-
dc.date.accessioned	2018-07-20T15:06:33Z	-
dc.date.available	2018-07-20T15:06:33Z	-
dc.date.issued	2017-03-30	en_US
dc.identifier.citation	Zook, M, Barocas, S, boyd, D, Crawford, K, Keller, E, Gangadharan, SP, Goodman, A, Hollander, R, Koenig, BA, Metcalf, J, Narayanan, A, Nelson, A, Pasquale, F. (2017). Ten simple rules for responsible big data research. PLoS Computational Biology, 13 (10.1371/journal.pcbi.1005399	en_US
dc.identifier.uri	http://arks.princeton.edu/ark:/88435/pr18h3d	-
dc.description.abstract	N/A	en_US
dc.language.iso	en_US	en_US
dc.relation.ispartof	PLoS Computational Biology	en_US
dc.rights	Final published version. This is an open access article.	en_US
dc.title	Ten simple rules for responsible big data research	en_US
dc.type	Journal Article	en_US
dc.identifier.doi	doi:10.1371/journal.pcbi.1005399	-
dc.date.eissued	2017-03-30	en_US
pu.type.symplectic	http://www.symplectic.co.uk/publications/atom-terms/1.0/journal-article	en_US

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