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Ten simple rules for responsible big data research.

Authors :
Zook, Matthew
Barocas, Solon
boyd, danah
Crawford, Kate
Keller, Emily
Gangadharan, Seeta Peña
Goodman, Alyssa
Hollander, Rachelle
Koenig, Barbara A.
Metcalf, Jacob
Narayanan, Arvind
Nelson, Alondra
Pasquale, Frank
Source :
PLoS Computational Biology; 3/30/2017, Vol. 13 Issue 3, p1-10, 10p
Publication Year :
2017

Abstract

The article discusses the results of a two-year project which aimed to provide guidance to the National Science Foundation (NSF) on how to best encourage ethical practices in scientific and engineering research involving the use of big data research methods and infrastructures. The assumption that most data represent or impact people should be used to guide one's analysis. Researchers are also encouraged to situate and contextualize data to anticipate privacy breaches and minimize harm.

Details

Language :
English
ISSN :
1553734X
Volume :
13
Issue :
3
Database :
Complementary Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
122173240
Full Text :
https://doi.org/10.1371/journal.pcbi.1005399