🖥️ Data Entry Guide – SayPro SCRR-33 Project

📘 Section: Barrier Documentation and Data Upload

Required for: All field researchers and staff contributing to SCRR-33
Purpose: Ensure standardized and accurate entry of identified accessibility barriers into the SayPro database.

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✅ Step-by-Step Data Entry Process

🔹 Step 1: Complete the Barrier Identification Template

Before uploading, ensure that the following fields are filled out for each barrier:

Field	Example Entry
Barrier Description	No wheelchair access ramp at front entrance
Category	Physical Space
Facility Type	Rural Clinic
Prompt Source	Entry & Exterior Prompt
Solution Proposed	Install ADA-compliant ramp with railing
Date Identified	2025-06-20
Urgency Rating	High
Submitted By	John Doe

✅ Use dropdowns in the Excel template to ensure valid inputs.

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🔹 Step 2: Verify for Accuracy & Completeness

• Double-check:
  • Spelling and grammar
  • Correct category tags (Physical Space, Equipment, Staff Training)
  • Dates and facility names
  • No duplicate barrier descriptions
• Validate solution fields are clear and realistic

✅ Use SayPro’s “Validation Checklist” before uploading.

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🔹 Step 3: Access the SayPro Database Portal

1. Go to: https://saypro.online/scrr-33/submit
2. Log in with your SayPro employee credentials
3. Navigate to: Data Entry → Barrier Log Upload

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🔹 Step 4: Upload Your Template

• Click “Upload Barrier List”
• Select your completed Excel (.xlsx or .csv) or Google Sheets export
• Use the auto-check tool to detect missing or invalid entries

🔒 All data is encrypted and securely stored on SayPro’s server.

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🔹 Step 5: Confirm Upload and Record Submission

After upload:

• You’ll receive a confirmation email with a Submission ID
• Save this ID for reference or in case corrections are requested

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🧾 Reminders for Accurate Data Entry

• Use the official SayPro template only
• Categorize each barrier as:
  • 🟩 Physical Space
  • 🟨 Equipment
  • 🟥 Staff Training
• Do not include personal or patient information in any field
• Barriers should be based on real findings or validated AI-generated entries