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American Carbon Registry Audit Trail Documentation — Verification Chain of Custody

Prepared for American Carbon Registry. Audit Trail Documentation. Draft in review.

American Carbon Registry Audit Trail Documentation — Verification Chain of Custody

Table of Contents

  1. [Introduction](#introduction)
  2. [Chain of Custody](#chain-of-custody)
  • 2.1 Overview
  • 2.2 Data Flow
  • 2.3 Role of DaedArch Corporation
  1. [Data Integrity](#data-integrity)
  • 3.1 Data Capture
  • 3.2 Data Processing
  • 3.3 Data Storage
  1. [Timestamp Verification](#timestamp-verification)
  • 4.1 Timestamp Generation
  • 4.2 Timestamp Accuracy
  1. [Tamper Detection](#tamper-detection)
  • 5.1 Tamper Detection Mechanisms
  • 5.2 Response Protocols
  1. [Audit Log Format](#audit-log-format)
  • 6.1 Log Structure
  • 6.2 Data Field Mappings
  • 6.3 API Endpoints
  1. [Conformity Assessment Procedures](#conformity-assessment-procedures)
  2. [Conclusion](#conclusion)

1. Introduction

This document serves to outline the audit trail requirements and procedures for the American Carbon Registry (ACR) in the context of carbon offset verification. It delineates the end-to-end process from sensor measurement through verification to credit issuance, ensuring compliance with ACR standards, specifically focusing on permanence and additionality.

2. Chain of Custody

2.1 Overview

The chain of custody (CoC) is the process that tracks the handling of carbon offset data from its initial capture to final verification and credit issuance. Each step in the CoC must be clearly documented to ensure accountability and traceability.

2.2 Data Flow

The data flow within the CoC shall adhere to the following stages:

  1. Data Capture: Ground-truth environmental data is captured via IoT sensors installed in designated project areas.
  2. Data Transmission: Captured data is transmitted securely to the DaedArch platform via HTTPS.
  3. Data Processing: The platform processes the data using certified algorithms to generate verification-ready reports.
  4. Verification: Independent third-party verifiers review the reports against ACR standards.
  5. Credit Issuance: Upon successful verification, carbon credits are issued to the project proponent.

2.3 Role of DaedArch Corporation

DaedArch Corporation shall maintain the integrity of the data throughout the CoC. Responsibilities include:

  • Ensuring sensors are calibrated and functioning correctly.
  • Implementing secure data transmission protocols.
  • Processing data using ACR-approved methodologies.
  • Generating detailed reports that include all relevant metadata.

3. Data Integrity

3.1 Data Capture

Data capture shall be performed using IoT sensors that measure relevant environmental parameters (e.g., CO2 concentration, soil moisture, temperature). The following specifications must be adhered to:

  • Sensor Accuracy: Sensors shall have an accuracy of ±2% for CO2 measurements.
  • Sampling Rate: Data shall be captured at a minimum frequency of once per hour.

3.2 Data Processing

Processing of the captured data shall include:

  • Algorithm Compliance: All data processing algorithms must be certified by ACR.
  • Data Transformation: Raw data shall be transformed into a standardized format (JSON) for reporting.

Example of Data Format:

`json { "sensor_id": "sensor_001", "timestamp": "2023-10-01T12:00:00Z", "co2_concentration": 400.5, "temperature": 22.0, "soil_moisture": 15.0 } `

3.3 Data Storage

Data shall be securely stored in a cloud-based database with the following requirements:

  • Encryption: All stored data must be encrypted using AES-256 encryption.
  • Access Control: Access to the database shall be restricted to authorized personnel only.

4. Timestamp Verification

4.1 Timestamp Generation

Each data entry shall include a timestamp generated at the time of data capture. The timestamp shall conform to the ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ).

4.2 Timestamp Accuracy

The system clock used for timestamp generation shall be synchronized with a reliable time source (e.g., NIST time servers) to ensure accuracy within ±1 second.

5. Tamper Detection

5.1 Tamper Detection Mechanisms

Tamper detection protocols shall be implemented to ensure data integrity. This includes:

  • Hashing: Each data entry shall be hashed using SHA-256 before transmission.
  • Checksum Verification: A checksum shall be generated and verified upon data retrieval.

5.2 Response Protocols

In the event of detected tampering, the following response protocols shall be enacted:

  1. Alert Generation: An alert shall be generated and sent to system administrators.
  2. Data Lockdown: The affected data entries shall be locked to prevent further access until the issue is resolved.
  3. Investigation: An investigation shall be initiated to determine the cause of tampering.

6. Audit Log Format

6.1 Log Structure

Audit logs shall be generated for all actions taken within the system. The logs shall include the following fields:

  • Log ID: Unique identifier for each log entry.
  • Timestamp: Timestamp of the action.
  • Action Type: Type of action performed (e.g., data capture, data processing, verification).
  • User ID: Identifier of the user performing the action.
  • Details: Description of the action taken.

6.2 Data Field Mappings

The following mappings shall be used for the audit log entries:

| Field Name | Data Type | Description | |------------------|-----------|-------------------------------------| | log_id | String | Unique identifier for the log entry | | timestamp | String | ISO 8601 formatted timestamp | | action_type | String | Type of action (e.g., "Create", "Update") | | user_id | String | Identifier of the user | | details | String | Detailed description of the action |

6.3 API Endpoints

The following API endpoints shall be provided for audit log management:

  • Create Log Entry: POST /api/audit/logs
  • Retrieve Log Entries: GET /api/audit/logs
  • Delete Log Entry: DELETE /api/audit/logs/{log_id}

Example of API Request for Creating a Log Entry:

`http POST /api/audit/logs Content-Type: application/json

{ "timestamp": "2023-10-01T12:00:00Z", "action_type": "Data Capture", "user_id": "user_123", "details": "Captured CO2 data from sensor_001." } `

7. Conformity Assessment Procedures

Conformity assessment procedures shall include:

  1. Internal Audits: Regular internal audits shall be conducted to ensure compliance with ACR standards.
  2. External Verification: Third-party verifiers shall be engaged to review the data and processes annually.
  3. Corrective Actions: Any non-conformities identified during audits shall be documented and corrective actions shall be implemented within 30 days.

8. Conclusion

This document outlines the comprehensive requirements for maintaining a robust audit trail for carbon offset verification in compliance with the American Carbon Registry standards. Adherence to these procedures will ensure the integrity and reliability of carbon credits issued through the DaedArch Corporation's sensor-based MRV platform. Continuous monitoring and periodic assessments will be essential to uphold the highest standards of accountability and transparency in carbon markets.

Organisation
American Carbon Registry
Category
Carbon Registries
Doc type
Audit Trail Documentation
Word count
1006

The co-dependence network

Trellison Institute

Research and methodology.

Carbon capture research →

Artrellion

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Carbon release arsenal →

LedgerWell

Operational verification.

Carbon business cases →

Disclosure: Draft document prepared for Artrellion stakeholder engagement. Transmittal requires governance approval and recipient-specific customisation.

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