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PRODID:-//github.com/rianjs/ical.net//NONSGML ical.net 4.0//EN
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DESCRIPTION:This seminar is based on FDA E6 GCP Guidelines which are the b
 asis of effective data quality management. Even if your research is not F
 DA regulated\, the information you learn in this course will help to ensu
 re a robust data collection and management plan.\n\nLearning Objectives:\
 n\nRegulatory guidelines for Clinical Data Management\nBest practices for
  data collection\nCDISC/CDASH/STDM standards\nResponsibilities of personn
 el\nCase report form criteria\nMaintaining confidentiality of data\nData 
 storage and transferability\nData preparation and quality assurance for a
 ccuracy\nData monitoring plan criteria\nData systems validation\nAdverse 
 event reporting and coding criteria\nWhat to expect on a monitoring visit
 \nTroubleshooting and resolution of deviations from plan\n\nWho will Bene
 fit:\n\nStudy Investigators\nData managers\nData processors\nStatistician
 s\nSite Personnel\nClinical Research Associates\nClinical Project Manager
 s/Leaders\nStudy Sponsors\nProfessionals in pharmaceutical\, medical devi
 ce\, clinical and biotechnology research who oversee or work with data co
 llection and management\nStaff in the above fields who work with data col
 lection/management and require training in CDM.\nCompliance auditors and 
 regulatory professionals who require a knowledge of CDM in assessment of 
 study protocols and reports\n
DTEND:20250509T140000
DTSTAMP:20260512T213556Z
DTSTART:20250508T090000
LOCATION:\,
SEQUENCE:0
SUMMARY:This seminar is based on FDA E6 GCP Guidelines which are the basis
  of effective data quality management. Even if your research is not FDA r
 egulated...
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