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Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

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Page 1: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Good Practices in Data Management(e.g. Redcap)

Presented by Diantha Howard,CCTS Biomedical Informatics

December 2012

Page 2: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Goals of Data Management

• Consistent• Accurate• Securely stored (including, but not limited to

HIPAA issues)• Attributable (i.e. “who entered”)• Accessible for analysis

Page 3: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

What is REDCap

• Software and methodology for electronic data collection and management

• REDCap database and REDCap Survey• http://project-redcap.org/• https://apollo.pantheon.fletcherallen.org/redcap– (REDCap database)

• https://ccts.uvm.edu/redcap– (REDCap survey only)

Page 4: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

REDCap History

• 2004: Started at Vanderbilt GCRC• 2006: Consortium started• 2012: 511 Institutional Partners– World-wide (48 countries in 2012)– From CTSA, RCMI and other institutions– Over 53,400 studies with over 71,000 end-users

Page 5: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Advantages of REDCap

• Secure, web-based, with authentication and data-logging

• Free to REDCap Consortium members (UVM CCTS is a member)

• Fast and flexible to design and implement• Multi-site access (here through FAHC gateway)• Exports data & syntax to common stat packages

(SPSS, SAS, Stata, R/S-Plus)• 21 CFR Part 11 Capable

Page 6: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

REDCap Home Screen

Page 7: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Databases you have access to:

Page 8: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Training Resources

• Videos and some examples– Overview– Creating data forms– Scheduling Module– Types of Databases– Data access groups– Locking records

• “General Help & FAQs”

Page 9: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Setting up a Project

Page 10: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Example of Data Entry Form

Page 11: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Online Form Designer

Page 12: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Adding a field

Page 13: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Data Comparison Tools

Page 14: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Data Logging (Audit trail)

Page 15: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Data Export and Import

• Data Export Tool:– Select all or certain fields from all or certain forms– De-identification options– Export data to a .csv file or– Export data and syntax for SAS, SPSS, R, Stata

• Data Import Tool:– Download template (.csv) once database created– Enter data into template and upload back to REDCap– For Longitudinal study, each event must be imported

separately

Page 16: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

REDCap Calendar

Page 17: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Randomization Module

• Enabled when creating project, or by modifying project settings

• Can be stratified by fields in your data, or within Data Access Groups

• You create allocation scheme, then upload to REDCap, which then will assign subjects

Page 18: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

More REDCap Applications• File Repository

– Can upload and retrieve documents and files– E.g. Consent forms; exported data & syntax

• Rights administration– You can assign rights to users on your study – Global rights: Import/ export / reporting / database design– Read/ edit/ no access (on form-by-form basis)

• Data Access Groups– For Multi-site trials; users can only see data entered by their access group

• Report Builder– Create and save simple queries/ reports

• “Send-It” (Secure File Transfer)

Page 19: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Report Builder – Creating Report

Page 20: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Report Builder - Result

Page 21: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

REDCap Graphical View

Page 22: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

REDCap Stats

Page 23: Good Practices in Data Management (e.g. Redcap) Presented by Diantha Howard, CCTS Biomedical Informatics December 2012

Citing REDCap