{"doi":"10.1016/j.jbi.2017.03.017","title":"Envisioning the future of ‘big data’ biomedicine","abstract":null,"journal":"Journal of Biomedical Informatics","year":2017,"id":651745,"datarank":0.5570358100056463,"base_score":3.713572066704308,"endowment":3.713572066704308,"self_citation_contribution":0.5570358100056463,"citation_network_contribution":0.0,"self_endowment_contribution":0.5570358100056463,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":40,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":54497,"name":"John Darrell Van Horn","orcid":null,"position":1,"is_corresponding":false},{"id":1699898,"name":"Alex A.T. 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In this commentary, we describe how the NIH has taken on \"big data\" science head-on, how a consortium of leading research centers are developing the means for handling large-scale data, and how such activities are being marshalled for the training of a new generation of biomedical data scientists. All in all, the NIH BD2K program seeks to position data science at the heart of 21<sup>st</sup> Century biomedical research.","is_dataset_classified":null,"base_score":3.713572066704308,"endowment":3.713572066704308,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"28366789","pmcid":"PMC5613673","openalex_id":"https://openalex.org/W2597719243","authors":[],"funders":[{"funder_name":"NIBIB NIH HHS","grant_id":"P41 EB015922","title":null},{"funder_name":"NIEHS NIH HHS","grant_id":"U24 ES026465","title":null},{"funder_name":"NIGMS NIH HHS","grant_id":"U54 GM114833","title":null},{"funder_name":"National Institutes of Health","grant_id":"5U54GM114833-02","title":"TRAINING"},{"funder_name":"National Institutes of Health","grant_id":"5U24ES026465-03","title":"Big Data U: Empowering Modern Biomedicine via Personalized Training"}],"total_grants":5,"fwci":15.1602,"citation_percentile":0.98757071,"influential_citations":0,"citation_trend":[{"year":2017,"count":4},{"year":2018,"count":8},{"year":2019,"count":7},{"year":2020,"count":5},{"year":2021,"count":2},{"year":2022,"count":4},{"year":2023,"count":4},{"year":2024,"count":4},{"year":2025,"count":2}],"oa_status":"bronze","license":"Elsevier Non-Commercial","oa_locations":[{"url":"https://www.sciencedirect.com/science/article/pii/S1532046417300709/pdf","host_type":"journal"},{"url":"https://www.sciencedirect.com/science/article/pii/S1532046417300709/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1532046417300709?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S1532046417300709?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.jbi.2017.03.017","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/28366789","host_type":"repository"},{"url":"https://escholarship.org/uc/item/9sz095bb","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5613673","host_type":"repository"},{"url":"https://dx.doi.org/10.1016/j.jbi.2017.03.017","host_type":""}],"fields_of_study":["Research Data Management Practices","Scientific Computing and Data Management","Genetics, Bioinformatics, and Biomedical Research","0301 basic medicine","0303 health sciences","03 medical and health sciences"],"mesh_terms":["Data Collection","Humans","National Institutes of Health (U.S.)","United States","Biomedical Research"],"keywords":["Biomedicine","Big data","Data science","Agency (philosophy)","Health informatics","Computer science","Informatics","Medical research","Translational research informatics","Health care","Engineering ethics","Medicine","Political science","Health Administration Informatics","Bioinformatics","Engineering","Sociology","Data mining","Software","Training","Computing","Biomedical Research","National Institutes of Health (U.S.)","Data Collection","Humans","United States"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. 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