Carbon Data Collection
Understanding how to systematically collect, validate, and manage carbon emissions data
Your Progress
Section 3 of 5The Data Collection Process
Effective carbon accounting depends on robust data collection processes. This involves identifying data sources, establishing collection methods, ensuring data quality, and maintaining systems for ongoing monitoring.
The data collection workflow typically follows a systematic approach: define boundaries, identify sources, collect and validate data, calculate emissions, and establish data management systems.
Data Quality is Critical
High-quality data ensures accurate emissions calculations and builds credibility for your carbon accounting efforts. Poor data quality can lead to misleading results and undermine stakeholder trust.
Interactive Data Collection Workflow Simulator
Experience the complete carbon data collection process step-by-step. Make decisions about data sources, collection methods, and validation processes to build your organization's carbon accounting strategy.
Step 1: Define Scope & Boundaries
Determine which emissions sources and activities to include
Expected Output
Clear boundary definitions for emissions accounting
Data Collection Best Practices
- • Start with scope definition to avoid collecting unnecessary data
- • Use automated systems where possible to reduce manual errors
- • Implement data validation checks at each step
- • Document all assumptions and data sources for transparency
- • Plan for ongoing data collection, not just one-time assessments