期刊
NATURE NEUROSCIENCE
卷 20, 期 3, 页码 299-303出版社
NATURE PORTFOLIO
DOI: 10.1038/nn.4500
关键词
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资金
- Wellcome Trust [100309/Z/12/Z]
- NIH [R01 NS075066-01A1, R01 EB015611-01, U01 MH099059, R01 AG047596]
- Singapore MOE Tier 2 [MOE2014-T2-2-016]
- NUS [DPRT/944/09/14, R185000271720]
- NMRC [CBRG14nov007]
- NUS YIA
- Deutsche Forschungsgemeinschaft (DFG) [EI 816/4-1, LA 3071/3-1, EI 816/6-1]
- National Institute of Mental Health [R01-MH074457]
- European Union Seventh Framework Programme (FP7) [604102]
- German federal state of Saxony-Anhalt
- CRCNS BMBF/NSF [01GQ1411/1429999]
- UK Medical Research Council
- European Research Council Starting Grant [261352]
- Irving Ludmer Family Foundation
- Ludmer Centre for Neuroinformatics and Mental Health
- ZonMw TOP grant [91211021]
- Laura and John Arnold Foundation
- NIBIB [P41EB019936]
- NIH-National Institute on Drug Abuse [U24DA038653]
- Helmholtz Portfolio Theme 'Supercomputing and Modeling for the Human Brain'
- European Regional Development Fund (ERDF)
- MRC [MC_U105597120] Funding Source: UKRI
- European Research Council (ERC) [261352] Funding Source: European Research Council (ERC)
Given concerns about the reproducibility of scientific findings, neuroimaging must define best practices for data analysis, results reporting, and algorithm and data sharing to promote transparency, reliability and collaboration. We describe insights from developing a set of recommendations on behalf of the Organization for Human Brain Mapping and identify barriers that impede these practices, including how the discipline must change to fully exploit the potential of the world's neuroimaging data.
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