📂 SayPro Raw Datasets for Initiatives
Objective:
To maintain a comprehensive and organized repository of raw datasets generated from SayPro initiatives, facilitating robust analysis, transparency, and future research.
🎯 Purpose
- Preserve original, unprocessed data collected across various SayPro programs and projects
- Enable accurate and reproducible statistical analyses and impact assessments
- Support data sharing within SayPro and with authorized partners while ensuring confidentiality and compliance
- Provide a foundational resource for ongoing monitoring, evaluation, and research activities
🔄 Data Management Process
- Data Collection
- Gather raw quantitative and qualitative data directly from field activities, surveys, administrative records, and other sources related to SayPro initiatives.
- Data Storage
- Store raw datasets securely in SayPro’s centralized data management system with controlled access.
- Data Documentation
- Accompany datasets with comprehensive metadata, including data source, collection date, methodology, and variable definitions to ensure usability.
- Data Access and Usage
- Facilitate authorized access for analysis and reporting while maintaining data privacy and security protocols.
✅ Benefits
- Ensures integrity and traceability of SayPro’s research data
- Enables detailed and accurate program evaluation
- Fosters transparency and supports evidence-based decision-making
- Enhances capacity for longitudinal studies and trend analysis
🏛️ Managed By
SayPro Data Management and Research Office
In partnership with:
- SayPro Economic Impact Studies Research Office
- SayPro IT and Security Team
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