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Ten simple rules for responsible big data research.
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.
Afiliación
  • Zook M; Department of Geography, University of Kentucky, Lexington, Kentucky, United States of America.
  • Barocas S; Microsoft Research, New York, New York, United States of America.
  • Boyd D; Microsoft Research, New York, New York, United States of America.
  • Crawford K; Data & Society, New York, New York, United States of America.
  • Keller E; Microsoft Research, New York, New York, United States of America.
  • Gangadharan SP; Information Law Institute, New York University, New York, New York, United States of America.
  • Goodman A; Data & Society, New York, New York, United States of America.
  • Hollander R; Department of Media and Communications, London School of Economics, London, United Kingdom.
  • Koenig BA; Harvard-Smithsonian Center for Astrophysics, Harvard University, Cambridge, Massachusetts, United States of America.
  • Metcalf J; Center for Engineering Ethics and Society, National Academy of Engineering, Washington, DC, United States of America.
  • Narayanan A; Institute for Health Aging, University of California-San Francisco, San Francisco, California, United States of America.
  • Nelson A; Ethical Resolve, Santa Cruz, California, United States of America.
  • Pasquale F; Department of Computer Science, Princeton University, Princeton, New Jersey, United States of America.
PLoS Comput Biol ; 13(3): e1005399, 2017 03.
Article en En | MEDLINE | ID: mdl-28358831
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sociedades Científicas / Guías como Asunto Tipo de estudio: Guideline Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Sociedades Científicas / Guías como Asunto Tipo de estudio: Guideline Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2017 Tipo del documento: Article País de afiliación: Estados Unidos