Course Overview

The proposal of this course is to create an adequate infrastructure for data collection and management of the studies carried out in the scope of Post-Graduation Program. In order to achieve this goal, students will have access to the world's most widely used system for electronic data collection and data management in scientific research, known as REDCap (Research Electronic Data Capture). This course will provide best practices and real case examples for data management in REDCap.

Learning Achievement

This course aims to present critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research to enhance security, reliability and quality to the data collected for research purposes.

Competence

Course prerequisites

Grading Philosophy

Hands-on exercises.

Course schedule

Principles of data management in scientific research; Recommended practices for development of questionnaires; Modalities for data collection in scientific research; Privacy, confidentiality and data security requirements of human research data; REDCap _ key concepts and applications in scientific research; International data standards and best practices for data dictionaries definitions; Effective data management: reports, data export, graphical visualization and data quality monitoring; Considerations for conducting web-based surveys; Hands-on training: REDCap projects development (classical and longitudinal) and application of the main REDCap features.

Course type

Online Course Requirement

Instructor

Katia Regina da Silva

Other information

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