Skip to main content

Research Data Framework

📊 What Data We Collect​

From Screen Recordings​

  • Code activity and workflow patterns
  • AI tool usage (ChatGPT, Copilot, etc.)
  • Application switching behavior
  • Typing vs AI-generated code

Performance Data​

  • Code quality metrics
  • Task completion rates
  • Error patterns and debugging approaches
  • Problem-solving speed

🔒 Privacy & Ethics​

Your Data is Protected​

  • Anonymized: All personal information removed
  • Secure: Encrypted storage with access controls
  • Consent: Clear agreement before participation
  • Your Rights: Access, correction, and withdrawal anytime

Compliance​

  • GDPR compliant (European data protection)
  • IRB approved (ethics review)
  • Research-only use

📈 How We Analyze Data​

Simple Approach:

  • Count and measure objective behaviors (time, clicks, switches)
  • Find patterns in workflows (what works best)
  • Compare different approaches (AI-heavy vs balanced)
  • Learn together what makes effective coding workflows

🤝 Open Research​

Data Sharing​

  • Anonymized datasets available for academic use
  • Methodology fully documented
  • Support for replication studies

Want Access?​

Contact: d.radic@roc-nijmegen.nl

All research conducted ethically with participant consent and data protection