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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-24763340
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Interpretation, Statistical / Guidelines as Topic Type of study: Guideline Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2014 Type: Article Affiliation country: United States
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Data Interpretation, Statistical / Guidelines as Topic Type of study: Guideline Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2014 Type: Article Affiliation country: United States