{"id":"W3213819329","doi":"10.1016/j.xgen.2021.100029","title":"GA4GH: International policies and standards for data sharing across genomic research and healthcare","year":2021,"lang":"en","type":"article","venue":"Cell Genomics","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":294,"is_retracted":false,"has_abstract":true,"ca_institutions":"Indoc Research; Google (Canada); Vector Institute; University of Toronto; University Health Network; McGill University; Ontario Institute for Cancer Research; Canada's Michael Smith Genome Sciences Centre; University of Waterloo; Genome Canada; Ontario Genomics","funders":"Institute of Genetics; U.S. National Library of Medicine; National Cancer Institute; National Human Genome Research Institute; National Heart, Lung, and Blood Institute; Horizon 2020; Instituto de Salud Carlos III; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Health and Medical Research Council; Research Institute, Nationwide Children's Hospital; Compute Canada; Innovative Medicines Initiative; Novo Nordisk Fonden; Terry Fox Research Institute; Bayer Fund; Eidgenössische Technische Hochschule Zürich; Academy of Finland; Government of Ontario; National Taiwan University; Institut National de la Santé et de la Recherche Médicale; Microsoft; National University of Singapore; Institute for Research in Biomedicine; Government of Canada; Additional Ventures; National Center for Advancing Translational Sciences; Seventh Framework Programme; Swiss Institute of Bioinformatics; Invitae; International Business Machines Corporation; Canada Research Chairs; Cotton Research and Development Corporation; Virginia Marine Resources Commission; Google; EOSC-Life; Chan Zuckerberg Initiative; Wellcome Trust; Robertson Foundation; Novo Nordisk; Genome Canada; European Molecular Biology Laboratory; Canarie; Broad Institute; State Government of Victoria; Center for Individualized Medicine, Mayo Clinic; Deutsche Forschungsgemeinschaft; Japan Agency for Medical Research and Development; Novartis; Agency for Science, Technology and Research; Amazon Web Services; Howard Hughes Medical Institute; National Institute on Handicapped Research; Foundation Medicine; Mayo Clinic; Vanderbilt University; Intel Corporation; Staatssekretariat für Bildung, Forschung und Innovation; “la Caixa” Foundation; National Institutes of Health; Vanderbilt-Ingram Cancer Center; National Institute of General Medical Sciences; Ontario Genomics Institute; Canada Foundation for Innovation; Nationwide Children's Hospital","keywords":"Interoperability; Data sharing; Suite; Data science; Health care; Genomics; Big data; Key (lock); Alliance; Knowledge management; Computer science; Business; Genome; World Wide Web; Political science; Medicine; Computer security; Biology; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.178108,0.002025989,0.001813525,0.009343802,0.004983949,0.02205722,0.01156948,0.01452143,0.008097617],"category_scores_gemma":[0.2250262,0.002279663,0.003409054,0.01509548,0.01042698,0.02150076,0.02160183,0.01516207,0.01057154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0100017,"about_ca_system_score_gemma":0.0508234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01567365,"about_ca_topic_score_gemma":0.00580287,"domain_scores_codex":[0.8833976,0.05617967,0.01907481,0.008335325,0.02697893,0.006033637],"domain_scores_gemma":[0.6885071,0.1108461,0.01702539,0.1101932,0.05972339,0.01370483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002308945,0.0001907962,0.003429306,0.0008531196,0.0001453852,0.0003594813,0.002989705,0.005332855,0.003027544,0.7305298,0.1361755,0.1167355],"study_design_scores_gemma":[0.00009260563,0.0001182869,0.002527448,0.002548966,0.00009000306,0.0004276232,0.001384594,0.007108733,0.003773083,0.2240168,0.757696,0.0002159277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00508908,0.002729433,0.8472053,0.05271552,0.003168888,0.002630302,0.004853539,0.01280686,0.06880117],"genre_scores_gemma":[0.05221068,0.004241734,0.8651913,0.02359194,0.001535547,0.006607811,0.0229152,0.005244083,0.01846166],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9884305,"threshold_uncertainty_score":0.9419362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002161335346962,"score_gpt":0.4196946650027868,"score_spread":0.3194785314680906,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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