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Research Data Management and Computing


Course Description

Introduction to concepts and techniques of research data management in public health and biomedicine; use of computers and statistical programs to process and analyze biomedical and health-related data.


Athena Title

Research Data Mgmt Computing


Equivalent Courses

Not open to students with credit in STAT 4360/6360


Pre or Corequisite

BIOS 7010 or BIOS 7010E


Semester Course Offered

Offered fall


Grading System

A - F (Traditional)


Course Objectives

This course is specifically designed to introduce students in the College of Public Health to concepts and techniques in the computerized management of research data in public health and biomedicine using computer software such as SAS, R, STATA, and SPSS. Biomedical, clinical trials, and epidemiology data sets will be used to illustrate the principles of data management. Students completing this course should: 1. Examine common epidemiological databases 2. Demonstrate the basic concepts of data management 3. Create and manage the data sets needed for various statistical analyses using SAS 4. Use SAS, STATA, and Epi-Info procedures to conduct basic statistical analyses


Topical Outline

1. Introduction to Research Data Management 2. Introduction to Computers and Operating Systems 3. Public health databases 4. Overview of Biostatistical Software 5. Working with Human Subjects Data - Data Security and Hippa Requirements - Institutional Review Boards - Data and Safety Monitoring Boards in Clinical Trials 6. Data Quality Assurance - Problems in data collection - Minimizing poor quality data - Quality monitoring - Audits - Archiving 7. Topics in Data Management - Importing data - Labeling and formatting variables - Documentation - Data manipulation - Exploring and summarizing data - Report writing 8. Working with Structured Query Language (SQL) - SQL concepts, advantages, and disadvantages - Creating, reading and modifying data using SQL - Communication between SQL and SAS


Syllabus


Public CV