Potential Duplicates Filter

Managing Duplicate Participants

Occasionally, your team may inadvertently create duplicate participant entries in a Ripple registry. Duplicate records can lead to data integrity issues, study management challenges, and system functionality errors.

A duplicate participant is defined as:

• A set of participants with an identical Global ID.
  A set of participants with an identical First Name, Last Name, and Birthdate.

📌 Prevents data inconsistencies within your study.
📌 Ensures accurate tracking of participant history across studies.
📌 Maintains system efficiency by avoiding duplicate records.

Merging Duplicate Participants

Step 1: Open the Potential Duplicates List

• Navigate to the Registry section.
• Click on the "Potential Duplicates" button in the upper right corner.

Step 2: Review the Duplicate Entries

• Compare the records to confirm they belong to the same participant.
• Verify information such as Global ID, name, birthdate, and study enrollment.

Step 3: Merge the Duplicate Profiles

When duplicate participant records are identified, follow the steps below to manually merge and retain the correct profile:

• Identify the primary profile: Determine which participant record will be retained as the official (primary) profile. This will be the record that remains active in the registry.

• Manually merge data: Copy all relevant information, field by field, from the duplicate record(s) into the primary profile to ensure all necessary data is preserved.

• Verify data accuracy: Review both records to confirm that all applicable details have been successfully transferred to the primary profile.

• Remove the duplicate profile: Once data verification is complete, delete the duplicate or unwanted participant record from the registry to maintain data integrity.