SayPro Complete a full audit of all current data sources by the end of January, ensuring that all new data collection processes incorporate the verification protocols.

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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

DateMilestone
Jan 5Launch audit process and assign responsibilities
Jan 10Distribute audit checklists and templates
Jan 15Mid-point check-in and issue resolution
Jan 25Submit final audit documents and data logs
Jan 31Complete full audit and submit summary report
Feb 1 onwardAll 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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