This is the second step in the REDCap training series. In this training we will cover basic and intermediate features such as:
• Outputting data automatically with calculated fields
• Collecting the same data points multiple times with longitudinal and one-to-many data collection
• Standardizing your data to industry standards with ontologies and the REDCap Instrument Library
• Ways to customize your data entry experience with action tags
• Viewing data with reports, dashboards, and charts
• And more

T...

This is the third step in the REDCap training series. In this training, we will cover survey configuration and distribution such as:

Allowing potential participants to self-initiate participation in your study with public surveys

Manually and automatically sending surveys

Administering electronic consent (e-consent) forms

Controlling survey access with conditional logic and survey login

This training is a demo and not hands-on. After this training you will have a basic understanding of surveys in...

What is ORCID? Why would you want one? This session will discuss ORCID, how researchers can benefit from having one, and how ORCID connects with other information systems. This will also be a hands-on workshop where everyone will have the chance to create their own ORCID and learn the most efficient ways to populate their profile with their publications.

PLEASE NOTE

Enrollment in HOW is open to all University of Iowa affiliates and residents of the state of Iowa. Advance registration is required...

We have established a community of CCOM Informaticists who are applying these skills in their work at UIHC. You are invited to join us during our monthly seminar presentations. 

This is the fourth step in the REDCap training series. In this training we will cover advanced features such as:

Importing data from a CSV file

Ways to customize your data entry experience with form display logic

Making your forms more dynamic and personalized with context aware smart variables

Sending automated, conditional email alerts

Ensuring data is high quality by executing data quality rules, creating data 'missingness' codes, and opening data queries

Register by clicking the virtual event link...