Data Add

Adding new data records to the system, ensuring accurate input and proper storage for future use.

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🧩 Overview

The Data Add workflow is essential for introducing new records into a system. It ensures:

• Accuracy and completeness of user input
• Validation of data format and constraints
• Proper mapping to corresponding data models and database tables
• Audit trail and versioning support for critical data

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⚙️ Workflow Process

1. Form/Interface Design

• Provide users with intuitive forms to enter new records.
• Include field-level help, input masks, and drop-down validations.
• Ensure proper grouping (e.g., general info, address info, configuration data).

2. Client-Side Validation

• Required field checks
• Format validations (e.g., date, email, numbers)
• Real-time error prompts with inline feedback

3. Server-Side Validation

• Schema-based validation using JSON schema or ORM rules
• Referential integrity (e.g., foreign key checks)
• Uniqueness checks on primary and indexed fields

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📥 Data Flow

User Input → Frontend Validation → API Call → Backend Validation → Database Write → Response

Each stage plays a crucial role in minimizing errors and maintaining system integrity.

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🧪 Example Use Case

Add New Patient Record

Input Fields:

• Name
• Date of Birth
• Gender
• Mobile Number (validated using regex)
• Address

API Payload:

{
  "name": "John Doe",
  "dob": "1980-01-01",
  "gender": "Male",
  "mobile": "9876543210",
  "address": "123 Main Street, NY"
}

Validation Rules:

• name: required
• dob: valid date, before today
• mobile: 10-digit pattern
• gender: one of ["Male", "Female", "Other"]

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✅ Success Criteria

• Data is inserted into the correct table
• No duplicate entries
• Returns newly created record ID or success response
• Auto-logs created_by, created_at timestamps

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🔄 Error Handling

Error Code	Description	Suggested Action
400	Validation Failed	Show inline field error
409	Duplicate Entry	Display "Already exists" msg
500	Internal Server Error	Retry or contact support

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🛡️ Security Considerations

• Sanitize inputs to avoid SQL injection and XSS
• Use HTTPS for secure data transmission
• Apply role-based access to prevent unauthorized inserts
• Log all create actions with user identity

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🔃 Advanced Features

• Bulk Add: Upload CSV/Excel to add multiple records at once
• Auto-complete: Suggest entries from existing data
• Pre-fill Templates: Load default values based on selection
• Smart Defaults: Use business logic to set default entries

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🔁 Versioning & Audit

Maintain a version history if overwriting is allowed:

{
  "record_id": 123,
  "versions": [
    { "v": 1, "data": {...}, "timestamp": "2025-01-01T10:00Z" },
    { "v": 2, "data": {...}, "timestamp": "2025-02-01T12:00Z" }
  ]
}

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📊 Reporting & Logging

• Log each addition with:
  • User ID
  • Timestamp
  • Data Summary
  • Origin (Web/App/API)

Enable admins to export data add logs for review.

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🧩 Integration Points

• Database insert statements
• API endpoints (REST/GraphQL)
• Workflow orchestration (e.g., trigger notifications or follow-up tasks)

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🔚 Summary

The Data Add workflow is a foundational template for reliable and secure data onboarding. It combines UI/UX, validation, integration, and security to ensure systems remain consistent and user-friendly.

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