NIAID 数据科学和大数据.pdf

1、NIAIDData ScienceandBig Data Rosemary G.McKaig,MPH,PhDEpidemiology BranchBasic Sciences Program,Division of AIDSrmckaigniaid.nih.govDAIDSDAIDSDMIDDMIDDAITDAITDivision of AIDSDivision of Microbiology and Infectious DiseasesDivision of Allergy,Immunology,and TransplantationOffice of Data Science and E

2、merging Office of Data Science and Emerging Technologies=Technologies=NIAID Office of Data ScienceNIAID Office of Data ScienceDAIDSDAIDSDivision of AIDSDAITDAITDivision of Allergy,Immunology,and TransplantationDMIDDMIDDivision of Microbiology and Infectious Diseases1.Lack of meta-information 2.Stand

3、ardization issues3.Data quality:inaccuracies,bias,confounding5.Finding suitable analysis tools,methods,and techniques4.Infrastructure and Human Resources6.Alignment with a research design and/or research question7.Ethics&Legal IssuesData ScienceEpidemiologyBiostatistics“It is important to note that while increasing sample sizes(as the big data movement is witness to)can increase the precision of an estimate,it does nothing to mitigate the effects of bias.”