To strengthen SayPro’s commitment to data integrity, a full audit of all current data sources should be completed by the end of January, with a simultaneous rollout ensuring that all new data collection adheres to the standardized verification protocols.
✅ SayPro: Full Data Source Audit and Protocol Integration Plan
🎯 Objective
- Audit all current data sources used across departments and projects by January 31st.
- Ensure all new data collection processes from that point forward fully incorporate SayPro’s data verification protocols.
📌 Audit Scope and Focus Areas
1. Data Sources to Be Audited
- Internal systems (e.g., program databases, monitoring systems, financial data)
- Field data collected via surveys, interviews, or assessments
- External datasets (e.g., partner reports, third-party research, government data)
2. Key Audit Questions
- Is the source credible and documented?
- Was the data collected using recognized and valid methods?
- Is the data complete, timely, and consistent?
- Has the data been verified previously? If so, how and by whom?
- Are there discrepancies when cross-checked with other sources?
🛠️ Audit Methodology
Step 1: Assign Audit Teams
- Each department nominates a data custodian to lead the source review.
- The central Data Verification Specialist provides coordination and support.
Step 2: Use Standardized Audit Templates
Create and distribute a Data Source Audit Checklist with criteria such as:
- Source description and ownership
- Data collection methods used
- Verification status (verified/unverified/partially verified)
- Identified issues or inconsistencies
- Recommended actions
Step 3: Collect and Review Documentation
- Require departments to submit evidence for each data source (e.g., source documents, collection tools, methodology notes).
- Flag any data lacking documentation for immediate review.
Step 4: Compile Findings
- Compile a centralized audit log listing:
- All current data sources
- Verification status
- Responsible department
- Follow-up actions (if applicable)
🚀 New Data Collection Process Integration
Starting Immediately:
- All new data collection tools and templates (e.g., forms, surveys, trackers) must embed SayPro’s data verification protocols, including:
- Source identification
- Data validation steps
- Quality checks
- Chain-of-custody tracking (if applicable)
Responsibilities:
- Data Collection Teams: Apply protocols from the start of every new project or data intake.
- Team Leads: Review and approve tools before use to confirm compliance.
- Monitoring & Evaluation: Conduct spot checks on new data collection instruments for alignment with protocols.
🗓️ Timeline
Date | Milestone |
---|---|
Jan 5 | Launch audit process and assign responsibilities |
Jan 10 | Distribute audit checklists and templates |
Jan 15 | Mid-point check-in and issue resolution |
Jan 25 | Submit final audit documents and data logs |
Jan 31 | Complete full audit and submit summary report |
Feb 1 onward | All new data collection must comply with protocols |
📊 Final Deliverables
- ✅ Data Source Audit Report
A comprehensive summary of all audited sources, their verification status, and corrective actions taken. - ✅ Protocol Integration Checklist
Confirmation that all new data collection initiatives are aligned with SayPro’s verification standards.
📣 Next Steps
- Communicate this plan organization-wide by Jan 5.
- Schedule a kick-off meeting for audit teams and department heads.
- Provide support materials, including:
- Audit checklist
- Sample verified source documentation
- Templates for new data collection with embedded verification steps
Would you like help drafting the Data Source Audit Checklist or creating a timeline dashboard to track audit completion status?
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