✅ SayPro Evidence of Source Validation & Data Citations Framework

🏛️ Institutional Validation Structure

📊 Common Data Citation Elements in SayPro Reports

1. Source Type (Primary/Partner/Public)
2. Collection Method (Survey, focus group, web analytics, API pull)
3. Sample Size or Geographic Scope
4. Date of Data Collection
5. Confidence Level or Limitations
6. Citation Format

📌 Example (in reports):

“According to SayPro Urban Insights Survey (April 2025, N=1,452 urban respondents in Kenya, South Africa, and Ghana), over 67% of middle-class users accessed financial literacy content via mobile at least once per week.”

📌 Example (partner-sourced):

“Data on digital SACCO usage patterns is derived from a 2024 co-study with the Kenya Co-op Federation and SayPro Digital Inclusion Unit (unpublished dataset, available upon request).”

📋 SayPro Research Documentation Standards

All formal SayPro research outputs include:

• Footnotes or endnotes for each key insight
• A “Sources & Methods” appendix detailing:
  • Data collection tools
  • Partner involvement (if any)
  • Validation checks (e.g., double-entry, random sampling, bias mitigation)
• Raw data logs maintained internally and optionally shareable under NDAs

🔒 Data Quality & Ethics

SayPro adheres to:

• GDPR-like standards for user data privacy
• Community-informed consent protocols
• Regular third-party audits of sample methodology
• Ethical prompt generation policies for AI-supported insights

✅ Sample Citation Types in SayPro Publications

📦 Supporting Tools

SayPro teams use:

• SayPro Data Locker (internal repository of research and datasets)
• SayPro Insight Tags in documents to trace each insight to its source
• AI Prompt Audit Logs for content created with assistance from tools like GPT