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Maximize Data Quality Text Box Field Types l Restrict the use of undefined (un- validated) text boxes n Create a list of appropriate choices using the.

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Presentation on theme: "Maximize Data Quality Text Box Field Types l Restrict the use of undefined (un- validated) text boxes n Create a list of appropriate choices using the."— Presentation transcript:

1 Maximize Data Quality Text Box Field Types l Restrict the use of undefined (un- validated) text boxes n Create a list of appropriate choices using the Multiple Choice Field Types and include “Other” as an option when necessary n Use branching logic to collect the descriptive text for “Other” using the un- validated text box field type

2 Maximize Data Quality Text Box Field Types l Always use the Validation Option to define the data type

3 Maximize Data Quality Text Box Field Types l Use minimum and maximum constraints to alert the user to possible data entry errors

4 Verification of Data Entry For post data collection data entry, a data verification process should be used l Create Double-Data Entry project l Visual inspection or audit comparing paper data collection forms to REDCap database

5 Data Quality Rules l Create and execute rules to identify possible data errors or data discrepancies l REDCap has 7 pre-defined rules

6 Data Quality Rules l Customized rules should be written to detect other types of data errors

7 Longitudinal Project Design l Create Longitudinal Designs whenever data collection forms will be completed more than once in a project l Create Events to represent the unique time points when data are collected l Designate the data collection forms that should be completed at each Event l Can use the scheduling module (calendar) in a Longitudinal Design

8 Example of a Longitudinal Design

9 Using Arms in a Longitudinal Design l Multiple Arms should be created to capture n Unique Event Structures across different participant populations u Cases versus Controls u Intervention A versus Intervention B n Ability to record data as needed for an unspecified number of times u Adverse events u Medications

10 Example of Multiple Arms

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13 Data Resolution Workflow l Create a process for resolving data errors between the user responsible for data quality assurance and the users entering the data n Data queries can be created from a field on a data collection form or from the Resolve Issues tab in the Data Quality module n Role selection will determine whether the user can view, respond to, or close queries.

14 Data Resolution Workflow


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