REDCap

The code block below illustrates how one might use # and // as comments in your logic and calculations.

# Text can be put here to explain what the logic/calculation does and why.
if ([field1] = '1' and [field2] > 7,

	// This comment can explain what the next line does.
	[score] * [factor],

	// Return '0' if the condition is False.
	0
)

Working...

This value you provided is not a number. Please try again.

This value you provided is not an integer. Please try again.

The value entered is not a valid Vanderbilt Medical Record Number (i.e. 4- to 9-digit number, excluding leading zeros). Please try again.

The value you provided must be within the suggested range

The value you provided is outside the suggested range

This value is admissible, but you may wish to double check it.

The value entered must be a time value in the following format HH:MM within the range 00:00-23:59 (e.g., 04:32 or 23:19).

This field must be a 5 or 9 digit U.S. ZIP Code (like 94043). Please re-enter it now.

This field must be a 10 digit U.S. phone number (like 415 555 1212). Please re-enter it now.

This field must be a valid email address (like joe@user.com). Please re-enter it now.

The value you provided could not be validated because it does not follow the expected format. Please try again.

Required format:

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Welcome to the University of Botswana REDCap Instance

The UB REDCap team has upgraded REDCap from version R11.3.4 to version R13.11.4. You will notice a different look of the interface and also enjoy new features including advanced Action Tags, Smart variables and many other exciting features.

Citing REDCap

We recommend the following boilerplate language:

"Study data were collected and managed using REDCap electronic data capture tools hosted at [YOUR INSTITUTION].^1,2 REDCap (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources."

¹PA Harris, R Taylor, R Thielke, J Payne, N Gonzalez, JG. Conde, Research electronic data capture (REDCap) - A metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform. 2009 Apr;42(2):377-81.

Welcome to REDCap!

REDCap is a secure web platform for building and managing online databases and surveys. REDCap's streamlined process for rapidly creating and designing projects offers a vast array of tools that can be tailored to virtually any data collection strategy.

REDCap provides automated export procedures for seamless data downloads to Excel and common statistical packages (SPSS, SAS, Stata, R), as well as a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields.

Learn more about REDCap by watching a brief summary video (4 min). If you would like to view other quick video tutorials of REDCap in action and an overview of its features, please see the Training Resources page.

NOTICE: If you are collecting data for the purposes of human subjects research, review and approval of the project is required by your Institutional Review Board.

If you require assistance or have any questions about REDCap, please contact Dr. Kagiso Ndlovu.

When including information about the University of Botswana REDCap Instance on your IRB or Grant applications, please see this template.

REDCap Features

Build online surveys and databases quickly and securely in your browser - Create and design your project using a secure login from any device. No extra software required. Access from anywhere, at any time.

Fast and flexible - Go from project creation to starting data collection in less than one day. Customizations and changes are possible any time, even after data collection has begun.

Advanced instrument design features - Auto-validation, calculated fields, file uploading, branching/skip logic, and survey stop actions.

Diverse and flexible survey distribution options - Use a list of email addresses or phone numbers for your survey respondents and automatically contact them with personalized messages, and track who has responded. Or create a simple link for an anonymous survey for mass email mailings, to post on a website, or print on a flyer.

Data quality - Use field validation, branching/skip logic, and Missing Data Codes to improve and protect data quality during data entry. Open data queries to automatically identify and resolve discrepancies and other issues real-time.

Custom reporting - Create custom searches for generating reports to view aggregate data. Identify trends with built-in basic statistics and charts.

Export data to common analysis packages - Export your data as a PDF or as CSV data for easy analysis in SAS, Stata, R, SPSS, or Microsoft Excel.

Secure file storage and sharing - Upload and share any type of file with anyone in the world through the File Repository feature or Send-It tool. Also works with exports and other built-in file uploading features.

Data-based triggers and alerts - Send real-time alerts and notifications to your team or other stakeholders via email, text, or phone based on certain data being entered or specific questions having a particular answer.

Connect to other resources - Use built-in features (API) to move data to/from your project. Build your own custom software development features to connect your project to other systems.