TRAINING ON RESEARCH ELECTRONIC DATA CAPTURE WITH REDCap AND RESEARCH DATA ANALYSIS

Batch 1 Day 1 - Time: in 11 AM (Tanzania); 09 AM (Nigeria); 08 AM (Ghana); 10 AM (Cape Town)
- Basic introduction to REDCap software

Batch 2 Day 2 - Time:11 AM (Tanzania); 09 AM (Nigeria); 08 AM (Ghana); 10 AM (Cape Town)
-Specific project needs will be covered as follows (SPARCO research fellows’ project will be prioritized)
- Designing data collection instruments
- Creating longitudinal studies
- Linking research studies to cohort database and registries

Batch 3 Day 2 - Time:14:30 PM (Tanzania); 12:30 PM (Nigeria); 11:30 AM (Ghana); 13:30 PM (Cape Town)
- Data quality controls
- Data Export from REDCap
- Data analysis (SPSS demo and R demo)

Trainers/Speakers: 
Raphael Sangeda, D Kandonga, U. Masamu, B, Octavian, F. Makundi & L. Mwita
Event Theme/Subject Category: 
Data handling
Coordinator's name: 
Raphael Sangeda
Coordinator's email address : 
sangeda@gmail.com
Name of Venue, Institute: 
Block M, Seminar room, MUHAS
City of Venue: 
Cape Town
Country of Venue: 
South Africa
Organisers/Organizing Body: 
Raphael Sangeda
Sponsors/Funders: 
Raphael Sangeda, D Kandonga, U. Masamu, B, Octavian, F. Makundi & L. Mwita
Dates of Event: 
Wednesday, October 7, 2020 - 08:00 to Thursday, October 8, 2020 - 17:00
Eligibility & Application Instructions: 
https://redcap.blood.ac.tz/sc/surveys/?s=8WWKN37A8W
Logos of supporting Institute: 
Extra information: 
Zoom link: Join Zoom Meeting https://us02web.zoom.us/j/85824946964?pwd=RVRJcVJ0YnB2U2xLM1RyU0JnYlJvZz09 Meeting ID: 858 2494 6964 Passcode: r3dc@p
Upload: 
PDF icon REDCap Database_Training_Advert_oct20.docx.pdf
Targeted Learning Outcomes: 
1. To understand the overview of R and REDCap both mobile and web platforms. 2. To translate paper data Case Report forms (CRF) into electronic (e-CRF). 3. To understand data capture using mobile app and web platforms and Surveys. 4. To design longitudinal studies in REDCap. 5. To visualize data with reports and graphs in REDCap. 6. Exporting data suited to favorite Statistical Software format. 7. To perform basic data analysis using IBM SPSS software and R statistical package.
SickleInAfrica Project/PI/Working Group: 
Working Group: Data Management