Ten simple rules for the care and feeding of scientific data.

Goodman, Alyssa; Pepe, Alberto; Blocker, Alexander W; Borgman, Christine L; Cranmer, Kyle; Crosas, Merce; Di Stefano, Rosanne; Gil, Yolanda; Groth, Paul; Hedstrom, Margaret; Hogg, David W; Kashyap, Vinay; Mahabal, Ashish; Siemiginowska, Aneta; Slavkovic, Aleksandra

Goodman, Alyssa; Pepe, Alberto; Blocker, Alexander W; Borgman, Christine L; Cranmer, Kyle; Crosas, Merce; Di Stefano, Rosanne; Gil, Yolanda; Groth, Paul; Hedstrom, Margaret; Hogg, David W; Kashyap, Vinay; Mahabal, Ashish; Siemiginowska, Aneta; Slavkovic, Aleksandra.

Afiliación

Goodman A; Harvard University, Cambridge, Massachusetts, United States of America.
Pepe A; Harvard University, Cambridge, Massachusetts, United States of America.
Blocker AW; Harvard University, Cambridge, Massachusetts, United States of America.
Borgman CL; University of California, Los Angeles, Los Angeles, California, United States of America.
Cranmer K; New York University, New York, New York, United States of America.
Crosas M; Harvard University, Cambridge, Massachusetts, United States of America.
Di Stefano R; Harvard University, Cambridge, Massachusetts, United States of America.
Gil Y; University of Southern California, Los Angeles, Los Angeles, California, United States of America.
Groth P; Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Hedstrom M; University of Michigan, Ann Arbor, Michigan, United States of America.
Hogg DW; New York University, New York, New York, United States of America.
Kashyap V; Harvard University, Cambridge, Massachusetts, United States of America.
Mahabal A; California Institute of Technology, Pasadena, California, United States of America.
Siemiginowska A; Harvard University, Cambridge, Massachusetts, United States of America.
Slavkovic A; Pennsylvania State University, State College, Pennsylvania, United States of America.

PLoS Comput Biol ; 10(4): e1003542, 2014 Apr.

Article en En | MEDLINE | ID: mdl-24763340

Asunto(s)

Interpretación Estadística de Datos; Guías como Asunto

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Interpretación Estadística de Datos / Guías como Asunto Tipo de estudio: Guideline Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos

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