If you’ve ever assessed a CDP questionnaire and felt like you were examining a mountain of data requirements, you’re not alone. The Carbon Disclosure Project demands incredibly specific emissions information. Getting it wrong can seriously impact your score.
Whether you’re preparing for your first CDP submission or trying to improve your current approach, understanding exactly what data you need to collect will save you countless headaches down the line. We’ll walk you through the essential emissions data CDP requires. We’ll demonstrate practical ways to gather and organise this information. We’ll help you avoid the most common pitfalls that trip up even experienced sustainability teams.
What is CDP and why does emissions data matter?
The Carbon Disclosure Project operates as the world’s largest environmental disclosure platform. It collects climate data from over 18,700 companies globally. When investors, customers, and regulators want to understand your climate impact, they often turn to your CDP score as their first reference point.
Your emissions data forms the backbone of your entire CDP submission. The platform uses this information to calculate your environmental impact scores across climate change, water security, and forests.
Poor-quality data doesn’t just lower your score. It undermines your credibility with stakeholders who rely on CDP ratings to make investment and procurement decisions. The connection between data quality and CDP scoring is direct and unforgiving.
CDP’s methodology rewards companies that provide comprehensive, verified emissions data. It penalises those with gaps or inconsistencies. This means your data collection process can make the difference between achieving leadership status or falling into the lower performance bands.
What makes this particularly challenging is that CDP doesn’t just want numbers. They want context. They want methodology explanations. They want evidence that your data collection processes are robust and reliable. This requires careful planning throughout the year rather than just during reporting season.
Core emissions data CDP requires from organizations
Building on these quality expectations, let’s examine the comprehensive data requirements CDP demands from your organisation. The questionnaires require detailed emissions data across all three scopes, with specific requirements varying depending on your industry sector and company size.
Scope 1 emissions encompass direct greenhouse gas emissions from sources your company owns or controls. You’ll need to break these down by specific emission source categories:
- Stationary combustion with detailed fuel consumption volumes by fuel type
- Mobile combustion including fleet vehicles and equipment
- Process emissions with production-specific parameters
- Fugitive emissions including refrigerant usage quantities
For each category, specify which emission factors you used, including their sources and vintage years. Explain your calculation methodology with sufficient detail to enable third-party verification. CDP also requires you to report any biogenic emissions separately from your fossil fuel emissions, with clear documentation of biomass sources and carbon neutrality assumptions.
Scope 2 emissions cover your electricity, steam, heating, and cooling consumption from purchased energy sources. You’ll need to report both location-based calculations using grid average emission factors and market-based figures reflecting your specific energy procurement choices.
Provide comprehensive details about any renewable energy certificates, guarantees of origin, or power purchase agreements, including vintage, tracking system registration, and retirement documentation. Explain your methodology for avoiding double counting between location-based and market-based approaches. The questionnaire requests specific consumption data in MWh alongside your emissions calculations, broken down by energy type and supplier where possible.
Scope 3 emissions present the most substantial data challenge for most companies. CDP requires you to evaluate all 15 categories of indirect emissions and report comprehensively on those that are relevant and material to your business operations.
For each relevant category, you need:
- Detailed emissions figures with supporting uncertainty assessments
- Comprehensive activity data including quantities, distances, and specifications
- Transparent calculation methods with clear documentation of data sources, emission factors, and assumptions
- Thorough explanations of any exclusions, estimates, or proxy data used, including materiality assessments and improvement plans
Beyond the basic emissions figures, CDP demands extensive supporting information that demonstrates the robustness of your reporting approach. This includes comprehensive details about your organisational boundary methodology, whether using operational control, financial control, or equity share approaches. Document any acquisitions, divestments, or structural changes that affected your emissions profile during the reporting period. Provide verification statements from accredited third parties, including scope of assurance and materiality thresholds. Deliver detailed explanations of year-on-year changes that exceed materiality thresholds, including structural adjustments and recalculations.
The platform also requests comprehensive forward-looking data that demonstrates strategic climate planning:
- Science-based emissions reduction targets with baseline years, target years, and progress tracking
- Planned mitigation activities with expected emission reductions and implementation timelines
- Scenario analysis results showing climate-related risks and opportunities across different temperature pathways
This information enables CDP to assess not just your current performance but also your strategic approach to long-term climate risk management and transition planning.
How to collect and organise your emissions data for CDP
Successful CDP data collection starts with understanding that this isn’t a once-a-year activity. The most effective approach involves establishing continuous data collection processes that feed systematically into your annual reporting cycle.
Start by comprehensively mapping your data sources across different departments and functions:
- Facilities management teams maintain detailed energy consumption data, utility bills, and equipment specifications
- Procurement departments possess supplier information crucial for Scope 3 calculations, including spend data, supplier questionnaire responses, and contract terms
- Finance teams provide detailed spend data for category-based emissions estimates, cost centre allocations, and organisational structure information
Create standardised data request templates that specify exactly what information you need, in what format, with what level of detail, and by when. Include clear instructions about data quality requirements, acceptable estimation methods, and documentation standards. For Scope 1 emissions, establish monthly data collection routines for fuel consumption across all sources, refrigerant top-ups with leak detection records, and process emissions with production data correlations.
Many companies achieve success by integrating emissions data requests into their existing financial reporting processes, since the underlying activity data often originates from the same operational systems. Scope 2 data collection typically proves more straightforward but requires systematic gathering of both consumption figures and supplier-specific emission factors.
If you’re purchasing renewable energy, maintain comprehensive records including certificates with serial numbers, contracts with delivery terms, and detailed delivery dates to support your market-based calculations with full traceability. Scope 3 data collection requires the most strategic planning and should systematically include:
- Upstream categories like purchased goods and services integrated directly into procurement processes with supplier engagement protocols
- Downstream categories managed through direct collaboration with customers or calculated using industry-specific averages with clear documentation
- Standardised supplier questionnaires with clear instructions, data quality requirements, and follow-up procedures
- Robust fallback estimation methods using spend-based calculations, industry benchmarks, or proxy data with transparent uncertainty assessments
Organisation becomes crucial once you start collecting this comprehensive information. Create standardised spreadsheets or database systems that capture not just the final emissions figures but also document the underlying activity data with units and sources. Record emission factors used with sources, vintage, and regional applicability. Document calculation methods with step-by-step procedures and quality checks. Include comprehensive data quality assessments with uncertainty ranges and improvement opportunities.
This systematic documentation becomes essential when CDP requests detailed methodology explanations and supporting evidence during the scoring process. However, even with the most thorough planning, you’ll likely encounter several predictable challenges that can significantly impact your submission if not properly addressed through proactive management strategies.
Common CDP data challenges and how to solve them
Even well-prepared companies encounter predictable data challenges during CDP preparation. Understanding these common issues helps you plan more effective solutions from the start.
Data gaps represent the most frequent challenge, particularly for Scope 3 emissions where you depend on external suppliers and partners across complex value chains. Rather than leaving categories unreported, develop robust estimation methodologies using spend-based calculations with industry-specific emission factors or peer company benchmarks. CDP generally rewards transparency about limitations more than it penalises reasonable estimates with clear explanations and improvement commitments.
Inconsistent data quality across different sources creates another common challenge that can undermine your submission’s credibility. Your electricity bills might provide perfectly accurate consumption data, but your business travel data comes from expense reports with missing flight details or accommodation information. Address this by creating comprehensive data quality hierarchies that systematically prioritise measured data over calculated estimates over proxy data. Document the reliability level and uncertainty range of each data source with clear improvement plans.
Verification requirements often catch companies unprepared, particularly smaller organisations that haven’t previously had their emissions data independently reviewed by accredited assurance providers. Plan for verification early in your data collection process, as auditors need substantial time to review your methodology, test your data systems, and may request significant changes to your calculation approaches or documentation standards.
Key challenges also include:
- Organisational boundary questions when companies operate complex structures including joint ventures, subsidiaries, recent acquisitions, or international operations
- Multi-location complexity managing data across different currencies, measurement units, and regulatory frameworks
- Supplier engagement difficulties obtaining reliable Scope 3 data from reluctant or under-resourced supply chain partners
For organisational boundaries, establish clear, documented policies about which entities to include under operational control, financial control, or equity share approaches. Maintain consistent methodologies across reporting years to avoid confusing year-on-year comparisons and ensure transparent recalculation policies.
Managing data across multiple locations requires standardised data collection templates with clear unit conversion requirements. Establish transparent conversion methodologies for different measurement units, currencies, and regional emission factors. Maintain detailed records of exchange rates, emission factors, and global warming potential values used for each location with source documentation.
These challenges might seem overwhelming, but remember that CDP values continuous improvement over perfection in initial submissions. Focus on building robust, systematic processes that you can enhance progressively year after year rather than attempting to achieve complete data coverage in your first submission.
Ready to tackle your CDP reporting?
With all these requirements and challenges in mind, preparing comprehensive emissions data for CDP reporting requires specialised expertise, substantial time investment, and systematic planning. While this guide provides the foundation you need, working with specialists who understand CDP’s specific requirements can make the difference between a good submission and an exceptional one.
At Dazzle, we connect you with pre-screened CDP experts who can guide you through every aspect of the data collection and reporting process. Whether you need help with complex Scope 3 calculations, verification planning, or strategic improvements to boost your score, our network of specialists offers the flexibility to support your specific needs.
You can start working with the right expert within 48 hours, ensuring your CDP submission reflects the quality and accuracy your stakeholders expect.
