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Data Management

Quality Services:

  • Data Collection and Case Report Form design and formatting
  • Determination of appropriate data collection methodology (e.g., face–to–face interview, mail–out/mail–back, medical record abstraction)
  • Data Entry
    • Receipt and processing of forms by trained staff
    • 10-100% Double Data Entry (project specific)
    • Action plans if error rates exceed specified threshold
  • Data Auditing
  • Data Cleaning
    • Cross validation between data sources
    • Form completion and consistency checks
    • Data clarification and audit trails
    • Proprietary macros developed to ensure quality data and cost efficiency
  • Derived variable creation and psychometric analysis
  • Item–level, derived and analytic database construction

Continuous Communication:

  • Data Management is optimized as a result of our frequent contact with project staff, in relation to data collection, data clarification and database cleaning.
  • Project success is achieved through our regular data collection updates and reports via the web site and continuous communication with project staff.

Extensive Documentation:

  • Sections for grants and proposals
  • Data management specifications
  • Data Collection and Case Report forms tailored to study population
  • Data Dictionary outlining form completion guidelines
  • Data Collection Protocol
  • Data cleaning results and descriptive statistics on item level data
  • Derived variable coding information and descriptive statistics