Collaborating on Studies
Quick Summary: Share studies with other researchers, manage permissions, and work together on research projects.
What You'll Learn
- Adding collaborators to your studies
- Understanding permission levels
- Viewing shared studies
- Removing collaborators
- Best practices for team research
Overview
PEBL Hub's collaboration system allows multiple researchers to work together on studies. You can share studies with colleagues, grant different permission levels, and manage team access—all while maintaining control over your research.
Use cases:
- Multi-investigator research projects
- Lab director overseeing student projects
- Cross-institutional collaborations
- Mentor-mentee relationships
- Research assistants helping with data collection
Permission Levels
View Only
Can do:
- View study configuration
- See test parameters
- Browse participant data
- Download data
- View analytics
Cannot do:
- Modify study settings
- Change test parameters
- Add/remove tests or chains
- Delete participant data
- Add other collaborators
Best for: Data analysts, co-authors who need data access but shouldn't modify study configuration
Edit
Can do:
- Everything "View Only" can do, plus:
- Modify test parameters
- Change study settings
- Add/remove tests
- Configure chains
- Generate URLs and short URLs
- Activate/deactivate study
Cannot do:
- Delete the study
- Add/remove collaborators
- Transfer ownership
Best for: Co-investigators, research assistants managing day-to-day operations
Admin
Can do:
- Everything "Edit" can do, plus:
- Add new collaborators
- Remove collaborators
- Change collaborator permissions
- Delete the study
Cannot do:
- Transfer ownership (only owner can do this)
Best for: Principal investigators, lab directors, trusted co-PIs
Adding Collaborators
Step 1: Navigate to Study Settings
- Go to My Research Studies
- Find your study
- Click Manage Study
- Look for Collaborators section (may be in Settings or a separate tab)
Step 2: Add Collaborator
- Click Add Collaborator button
- Enter collaborator's username or email
- Select permission level:
- View Only
- Edit
- Admin
- Click Add or Send Invitation
Step 3: Notify Collaborator
The system may send an automatic notification, but it's good practice to:
- Email them directly
- Let them know they've been added
- Explain their role and permissions
- Provide any necessary context about the study
Example Workflow
Scenario: You're a lab director adding a graduate student to help with data collection.
- Add student with Edit permissions
- Student can now:
- Generate participant URLs
- Monitor data collection
- Download data
- Adjust parameters if needed
- Delete the study
- Add other people
- Make major structural changes without your oversight
Viewing Shared Studies
Finding Studies Shared With You
- Go to My Research Studies
- Look for studies marked as "Shared" or with a collaboration icon
- Your permission level will be displayed
Understanding Your Access
Check your permission level:
- View badge = Read-only access
- Edit badge = Can modify configuration
- Admin badge = Full control except ownership transfer
Collaborating Effectively
Good practices:
- Communicate changes: Let team know if you modify parameters
- Document decisions: Use study notes or external documentation
- Coordinate timing: Avoid simultaneous edits
- Respect permissions: Don't request higher access than needed
Managing Collaborators
Viewing Current Collaborators
As study owner or admin:
- Go to study settings
- View Collaborators list showing:
- Username/email
- Permission level
- Date added
- Added by whom
Changing Permissions
- Find collaborator in list
- Click Edit or Change Permissions
- Select new permission level
- Click Save
Removing Collaborators
- Find collaborator in list
- Click Remove or Revoke Access
- Confirm removal
When to Remove
- Project completed
- Person left lab/institution
- Security concern
- No longer needs access
- Permission granted by mistake
Common Collaboration Scenarios
Scenario 1: Multi-Site Study
Setup:
- PI at Site A (owner)
- PI at Site B (Admin)
- Research assistants at each site (Edit)
Workflow:
- Site A PI creates study, configures tests
- Site A PI adds Site B PI as Admin
- Each PI adds their research assistants with Edit access
- RAs at both sites can generate URLs for local participants
- Both PIs can download combined data
Scenario 2: Student Project with Advisor Oversight
Setup:
- Advisor (Admin)
- Student (owner or Edit, depending on who created study)
Workflow:
- Student creates study or advisor creates and adds student
- Student configures and runs study
- Advisor monitors progress and provides guidance
- Advisor can make changes if needed
Scenario 3: Data Analyst Collaboration
Setup:
- Primary investigator (owner)
- Data analyst (View Only)
Workflow:
- PI creates and runs study
- PI adds analyst with View Only access
- Analyst can download data and run analyses
- Analyst cannot accidentally modify study configuration
Scenario 4: Lab Director Managing Multiple Projects
Setup:
- Lab director (Admin on all lab studies)
- Multiple students (owners of their individual studies)
Workflow:
- Students create their own studies
- Students add lab director as Admin
- Director can oversee all projects
- Director can help troubleshoot or make changes as needed
- Students maintain primary responsibility
Best Practices
1. Use Minimum Necessary Permissions
Principle: Grant the lowest permission level that allows someone to do their job.
Why:
- Reduces risk of accidental changes
- Maintains data integrity
- Clearer responsibility structure
Examples:
- Data analyst? → View Only
- Research assistant collecting data? → Edit
- Co-PI making major decisions? → Admin
2. Document Who Has Access
Keep a record (spreadsheet, lab notebook) of:
- Who has access to each study
- Permission level
- Why they have access
- When added
- When removed (if applicable)
3. Review Access Regularly
Quarterly review:
- Who still needs access?
- Are permission levels still appropriate?
- Anyone who should be removed?
4. Communicate Changes
When making changes:
- Notify collaborators before major modifications
- Explain why changes being made
- Coordinate timing (don't change parameters mid-data collection!)
- Document changes in shared notes
5. Clarify Roles and Responsibilities
Before starting:
- Who handles participant recruitment?
- Who monitors data quality?
- Who downloads and analyzes data?
- Who responds to participant questions?
- Who makes parameter decisions?
6. Use Study Notes
Most studies have a notes or description field:
- Document decisions made
- Note parameter changes and why
- Track issues encountered
- List collaborator responsibilities
7. Backup Critical Work
Even with collaborators:
- Download data regularly
- Keep local copies of configurations
- Document study setup externally
- Don't rely solely on platform
Troubleshooting Collaboration Issues
Problem: Collaborator Can't See Study
Solutions:
- Verify you added correct username/email
- Check collaborator is logged into correct account
- Collaborator should check "Shared with Me" section
- Try removing and re-adding
Problem: Collaborator Has Wrong Permissions
Solutions:
- Check their permission level
- Update to correct level
- Verify change saved
- Have them log out and back in
Problem: Can't Add Collaborator
Solutions:
- Verify you have Admin permissions
- Check username/email is correct
- Ensure user has an account on platform
- Try different browser
Problem: Two People Editing Simultaneously
Prevention:
- Coordinate edit times
- Use study notes to indicate "editing now"
- Communicate via email/chat before major changes
If it happens:
- Last save usually wins
- Review changes carefully
- May need to re-enter some edits
Problem: Collaborator Made Unwanted Change
Solutions:
- If study has snapshot/version system, restore previous version
- Manually revert changes
- Discuss with collaborator to avoid future issues
- Consider reducing their permission level
- Review who needs Edit vs. View Only access
Privacy and Security
Data Access
Remember: Collaborators with View or higher can access participant data.
Implications:
- Add collaborators to IRB protocol if required
- Ensure collaborators sign data use agreements
- Only add people with legitimate research need
- Remove access when no longer needed
Institutional Policies
Check your institution's requirements:
- Who can access human subjects data?
- What agreements must be signed?
- Are there restrictions on multi-site access?
- What about international collaborators?
HIPAA and PHI
If working with protected health information:
- Ensure collaborators are HIPAA trained
- Have appropriate data use agreements
- Follow institutional protocols
- Consider using View Only for non-essential personnel
Removing Yourself as Collaborator
If you're a collaborator and want to remove yourself:
- Contact study owner
- Request removal
- Owner or admin must remove you
Transferring Study Ownership
Note: Current system may not support ownership transfer. Check with administrator.
If needed:
- Option A: Current owner adds new owner as Admin, removes themselves
- Option B: Export study configuration, new owner recreates
- Option C: Contact administrator for manual transfer
- Download all data
- Document all configurations
- Export parameter settings
- Save study notes
Related Topics
- Managing Studies - Study lifecycle and settings
- Getting Started - Basic platform usage
- Account Settings - Your profile and permissions
Need more help? Contact your platform administrator or the study owner if you're experiencing collaboration issues.