Data sharing and inductive learning - Toward healthy birth, growth, and development

New England Journal of Medicine

Volumn 374, Issue 25, 2016, Pages 2415-2417

  Jumbe, N L'ntshotsholé ^a   Murray, Jeffrey C ^a   Kern, Steven ^a  

^a BILL AND MELINDA GATES FOUNDATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAM; DATA ANALYSIS; DATA PROCESSING; DATA SHARING; HUMAN; INDUCTIVE LEARNING; LEARNING; PRIORITY JOURNAL; PUBLIC HEALTH; REVIEW; RISK ASSESSMENT; STATISTICAL MODEL; CHILD; CLINICAL TRIAL (TOPIC); COMPUTER SECURITY; CONFIDENTIALITY; DATA MINING; INFORMATION DISSEMINATION; INFORMATION PROCESSING; KNOWLEDGE BASE; MEDICAL RESEARCH; NEWBORN;

BIOMEDICAL RESEARCH; CHILD; CLINICAL TRIALS AS TOPIC; COMPUTER SECURITY; CONFIDENTIALITY; DATA MINING; DATASETS AS TOPIC; HUMANS; INFANT, NEWBORN; INFORMATION DISSEMINATION; KNOWLEDGE BASES; PUBLIC HEALTH; SOFTWARE;

EID: 84975502372     PISSN: 00284793     EISSN: 15334406     Source Type: Journal    
DOI: 10.1056/NEJMp1605441     Document Type: Review

References (3)

1. Longo DL, Drazen JM. Data sharing. N Engl J Med 2016;374:276-7.
2. Taichman DB, Backus J, Baethge C, et al. Sharing clinical trial data - a proposal from the International Committee of Medical Journal Editors. N Engl J Med 2016;374:384-6.
3. Van Panhuis WG, Paul P, Emerson C, et al. A systematic review of barriers to data sharing in public health. BMC Public Health 2014;14:1144.