IU REDCap Day brings together users and potential users of REDCap to share presentations, learn about new features, and network with peers. Discover exciting upcoming features in REDCap and unique ways others are using REDCap to do great work. Whether you’re new to REDCap or a REDCap Maestro, we have presentations to help you advance your ability to administer surveys and support data collection and management.
11:00 am - 11:25 am Rm 307 Beginner This presentation will emphasize the need for creating a process for analyzing the protocol for the data management elements necessary for creating an effective REDCap database. It will also discuss strategies for effectively mapping out the protocol to translate its elements into a functional REDCap database.
ABSTRACT Holladay | Translating the Protocol into REDCap
The core of any scientifically robust social behavioral research study is a comprehensive protocol that outlines how the research will be conducted, including the methods and processes that will be used. Protocols, often intricate and specialized for each study, form the foundation of sound research, but are complex in nature. It is often the job of the clinical research coordinator, in collaboration with the Principal Investigator and sometimes, a data manager, to take the necessary elements of the protocol and translate it into a REDCap database that can be used for data collection.
The adage "garbage in, garbage out" holds particular relevance in clinical research. It is critical to capture the necessary data elements correctly when the study first starts data collection. This concept is paramount because it can be difficult, if not impossible, to collect data that may have been missed due to inadequate REDCap design. The protocol contains many elements, such as how data will be collected, what data will be collected, when data will be collected, as well as regulatory documentation requirements. Understanding the protocol's flow is crucial for effectively translating it into a REDCap database where the necessary data is collected and stored. The protocol may require various contributors providing information for REDCap database, including study staff and study participants. Knowing the study's flow, including identifying who needs to input data and on what timeline are important factors for ensuring a functional REDCap database. It is important for the study team not only to comprehend and translate the study design flow for data input but also consider how the database can efficiently output post-study data for data analysis. Both concepts are key elements to effective data collection and management processes.
This presentation will emphasize the need for creating a process for analyzing the protocol for the data management elements necessary for creating an effective REDCap database. It will highlight why prioritizing this process is crucial, even amidst the time constraints often encountered during study start-up. It will also discuss strategies for effectively mapping out the protocol to translate its elements into a functional REDCap database.
I am a clinical research coordinator on a multi-site federally funded clinical trial. This involves research subject recruitment, collecting data, and managing a complex trial.
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