SayPro Extract secondary data from SayPro-approved health and statistical repositories

SayPro Data Acquisition Protocol:

Extract secondary data from SayPro-approved health and statistical repositories.

To support evidence-based research and program development, SayPro systematically integrates secondary data from verified, high-quality sources. These repositories are pre-approved based on criteria such as credibility, relevance, timeliness, and ethical compliance.

Purpose of Secondary Data Extraction:

• Enhance primary data with broader contextual insights.
• Fill data gaps in underserved or hard-to-reach populations.
• Enable trend analysis, benchmarking, and predictive modeling.
• Reduce time and resource costs associated with data collection.

Approved Data Sources May Include:

• National health databases (e.g., Ministries of Health, DHS, WHO reports)
• Statistical bureaus and census data
• Public health surveillance systems
• SayPro’s internal data archives and previous project datasets
• Academic and peer-reviewed research repositories
• NGO and UN agency reports validated for accuracy

Process Guidelines:

1. Identify data needs relevant to current research objectives or program questions.
2. Access the appropriate repository through SayPro’s data portal or designated data officer.
3. Document the source, date, and context of the extracted data for traceability.
4. Verify consistency and reliability of the data before integration.
5. Synthesize and analyze in alignment with SayPro’s analytical framework.

All data usage must adhere to SayPro’s Data Governance Policy, ensuring compliance with privacy, ethical standards, and licensing restrictions where applicable.