Mastering Data Management and Analysis: From Collection to Insights

Week 1: Introduction to Data Management in Clinical Research

• Overview of data management processes and roles
• Importance of data quality, integrity, and security

Week 2: Data Collection and Case Report Form (CRF) Design

• Designing data collection tools and CRFs
• Data validation and quality control strategies

Week 3: Electronic Data Capture (EDC) Systems

• Introduction to EDC systems and their benefits
• Implementation and utilization of EDC systems in clinical trials

Week 4: Data Entry and Cleaning

• Data entry processes and quality control
• Cleaning and validation of clinical research data

Week 5: Database Design and Query Management

• Principles of database design and organization
• Query management and resolution in clinical databases

Week 6: Data Monitoring and Quality Assurance

• Implementing data monitoring and quality assurance processes
• Risk-based monitoring and source data verification

Week 7: Data Analysis Planning and Statistical Considerations

• Planning data analysis and selecting appropriate statistical methods
• Sample size determination and power calculations

Week 8: Descriptive and Inferential Statistics

• Descriptive statistics for summarizing and presenting data
• Inferential statistics for hypothesis testing and estimation

Week 9: Data Visualization and Graphical Presentations

• Techniques for effective data visualization
• Creating graphs and figures for research presentations

Week 10: Statistical Software for Data Analysis

• Introduction to statistical software (e.g., R, SAS, SPSS)
• Data manipulation, analysis, and visualization using statistical software

Week 11: Interpreting and Reporting Research Findings

• Interpreting statistical results and drawing meaningful conclusions
• Reporting research findings in scientific papers and presentations

Week 12: Data Sharing and Secondary Analysis

• Ethical considerations in data sharing and secondary analysis
• Reproducibility and open science in clinical research

Graduates, Post Graduates, Research Scholars, Academicians, Industry Professionals of Healthcare and Medical Research Sector

• Competence in data management principles and best practices in clinical research.
• Proficiency in data collection, validation, cleaning, and database design.
• Skills in statistical analysis and interpretation of clinical research data.
• Ability to use statistical software for data analysis and visualization.
• Proficient presentation of research findings and evidence-based insights.