# Tracenable Documentation ## Tracenable Docs - [Welcome](https://docs.tracenable.com/welcome.md) - [Overview](https://docs.tracenable.com/platform/overview.md): The Overview page introduces each panel of the Tracenable platform. Learn what every panel does, how it fits into your workflow, and where to start when building datasets or exploring company data. - [Key Concepts](https://docs.tracenable.com/platform/key-concepts.md): Tracenable uses a few core concepts throughout the platform. Understanding them will help you unlock the platform’s full potential. - [Company Universes 101](https://docs.tracenable.com/platform/company-universes-101.md): The following pages explains everything you need to know about company universes, including how to create, edit, and manage them so you can tailor Tracenable to your needs. - [Create a New Universe](https://docs.tracenable.com/platform/company-universes-101/create-a-new-universe.md): This page explains how to create a new company universe in Tracenable. - [Add/Remove Companies to/from a Universe](https://docs.tracenable.com/platform/company-universes-101/add-remove-companies-to-from-a-universe.md): This page explains how to add and/or remove companies to/from an existing universe in Tracenable. - [View Companies in a Universe](https://docs.tracenable.com/platform/company-universes-101/view-companies-in-a-universe.md): This page explains how to filter the Company Screener to see which companies belong to an existing company universe. - [Rename a Universe](https://docs.tracenable.com/platform/company-universes-101/rename-a-universe.md): This page explains how to rename a company universe in Tracenable. - [Delete a Universe](https://docs.tracenable.com/platform/company-universes-101/delete-a-universe.md): This page explains how to delete a company universe in Tracenable. - [Export Data in CSV/Excel](https://docs.tracenable.com/platform/export-data-in-csv-excel.md): Learn how to build, preview, and export custom datasets with your chosen dataset, companies, and years, complete with coverage and cost transparency. - [API overview](https://docs.tracenable.com/api/api-overview.md): Programmatically access Tracenable's corporate datasets with our REST API. Learn how to authenticate, search for companies, and retrieve verified data for specific reporting periods. - [Ghg Emissions](https://docs.tracenable.com/api/ghg-emissions.md) - [Eu Taxonomy](https://docs.tracenable.com/api/eu-taxonomy.md) - [Climate Targets](https://docs.tracenable.com/api/climate-targets.md) - [Company](https://docs.tracenable.com/api/company.md) - [Revenues](https://docs.tracenable.com/api/revenues.md) - [Introduction](https://docs.tracenable.com/waste-management/introduction.md): Get introduced to Tracenable’s Waste Dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge. - [Definitions & Terminology](https://docs.tracenable.com/waste-management/definitions-and-terminology.md): Understand what qualifies as waste, how it is classified, the three main waste types (hazardous, non-hazardous, and radioactive), and the two management methods (recovery and disposal). - [Data Dimensions & Metrics](https://docs.tracenable.com/waste-management/data-dimensions-and-metrics.md): Learn how waste data is structured in Tracenable’s dimensional model, with two core dimensions (Waste Type and Management Method), and explore the full set of metrics derived from their combinations. - [References & Standards](https://docs.tracenable.com/waste-management/references-and-standards.md): Discover the foundational references and reporting standards that shape Tracenable’s Waste Dataset. - [Data Collection Methodology](https://docs.tracenable.com/waste-management/data-collection-methodology.md): Learn how Tracenable collects, standardizes, and validates corporate waste data through a five-step human-in-the-loop methodology, with links to detailed subpages on sources, standardization, and QAs. - [Data Sources](https://docs.tracenable.com/waste-management/data-collection-methodology/data-sources.md): See where Tracenable’s waste data comes from. Learn which corporate disclosures, registries, and web sources we capture, and how every metric is fully traceable back to its origin. - [Standardization Guidelines](https://docs.tracenable.com/waste-management/data-collection-methodology/standardization-guidelines.md): Learn how Tracenable standardizes waste data by preserving company-reported classifications and applying consistent mapping rules for management methods to ensure comparability across companies. - [Calculation Logic](https://docs.tracenable.com/waste-management/data-collection-methodology/calculation-logic.md): Learn how Tracenable infers missing waste metrics using clear bottom-up and top-down accounting rules, ensuring data is complete, consistent, and transparent. - [Quality Assurance](https://docs.tracenable.com/waste-management/data-collection-methodology/quality-assurance.md): Discover how Tracenable validates waste data through automated checks, statistical tests, and human review to deliver audit-grade reliability. - [Data Dictionary](https://docs.tracenable.com/waste-management/data-dictionary.md): Explore Tracenable’s Waste Management Data Dictionary, featuring standardized fields for waste metrics, disclosure details, and source traceability. - [Introduction](https://docs.tracenable.com/eu-taxonomy/introduction.md): Get introduced to Tracenable’s EU Taxonomy Dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge. - [Definitions & Terminology](https://docs.tracenable.com/eu-taxonomy/definitions-and-terminology.md): EU Taxonomy explained: environmental objectives, eligible vs. non-eligible activities, alignment criteria, and KPIs. - [Data Dimensions & Metrics](https://docs.tracenable.com/eu-taxonomy/data-dimensions-and-metrics.md): Discover how Tracenable’s dimensional model structures EU Taxonomy data into metrics measuring eligibility and alignment of KPIs: turnover, CAPEX, OPEX. - [References & Standards](https://docs.tracenable.com/eu-taxonomy/references-and-standards.md): Discover the regulations and reporting standards, including the EU Taxonomy Regulation and delegated acts, that shape Tracenable’s EU Taxonomy dataset. - [Data Collection Methodology](https://docs.tracenable.com/eu-taxonomy/data-collection-methodology.md): Learn how Tracenable collects, standardizes, and validates EU Taxonomy data through a five-step human-in-the-loop methodology, with links to detailed subpages on sources, standardization, and QAs. - [Data Sources](https://docs.tracenable.com/eu-taxonomy/data-collection-methodology/data-sources.md): See where Tracenable’s EU Taxonomy data comes from. Learn which corporate disclosures, registries, and web sources we capture, and how every metric is fully traceable back to its origin. - [Standardization Guidelines](https://docs.tracenable.com/eu-taxonomy/data-collection-methodology/standardization-guidelines.md): Learn how Tracenable standardizes EU Taxonomy disclosures by reconciling templates, mapping activities, and unifying KPI terms. - [Calculation Logic (Up to 2025)](https://docs.tracenable.com/eu-taxonomy/data-collection-methodology/calculation-logic-up-to-2025.md): See how Tracenable transforms incomplete EU Taxonomy disclosures into complete, reconciled metrics through structured accounting rules. - [Calculation Logic (2026 onward)](https://docs.tracenable.com/eu-taxonomy/data-collection-methodology/calculation-logic-2026-onward.md): See how Tracenable transforms incomplete EU Taxonomy disclosures into complete, reconciled metrics through structured accounting rules. - [Quality Assurance](https://docs.tracenable.com/eu-taxonomy/data-collection-methodology/quality-assurance.md): Discover how Tracenable validates EU Taxonomy data through automated checks, statistical tests, and human review to deliver audit-grade reliability. - [Data Dictionary](https://docs.tracenable.com/eu-taxonomy/data-dictionary.md): Explore Tracenable’s EU Taxonomy Data Dictionary, featuring standardized fields for taxonomy-eligible and taxonomy-aligned metrics, disclosure details, and source traceability. - [Introduction](https://docs.tracenable.com/ghg-emissions/introduction.md): Get introduced to Tracenable’s Greenhouse Gas (GHG) Emissions Dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge. - [Definitions & Terminology](https://docs.tracenable.com/ghg-emissions/definitions-and-terminology.md): Explore greenhouse gas emissions: gases covered by the GHG Protocol and how they are classified into Scopes 1, 2, and 3. - [Data Dimensions & Metrics](https://docs.tracenable.com/ghg-emissions/data-dimensions-and-metrics.md): Learn how Tracenable’s dimensional model structures GHG emissions data, with metrics for total and category-level Scope 1, 2, and 3 aligned to the GHG Protocol. - [References & Standards](https://docs.tracenable.com/ghg-emissions/references-and-standards.md): Learn how Tracenable’s GHG Emissions dataset aligns with the GHG Protocol, EU CSRD, SEC, GRI, CDP, TCFD, SASB, and PCAF for global comparability. - [Data Collection & Methodology](https://docs.tracenable.com/ghg-emissions/data-collection-and-methodology.md): Learn how Tracenable collects, standardizes, and validates corporate Greenhouse Gas (GHG) Emissions data through a five-step human-in-the-loop methodology. - [Data Sources](https://docs.tracenable.com/ghg-emissions/data-collection-and-methodology/data-sources.md): See where Tracenable’s GHG emissions data comes from. Learn which corporate disclosures, registries, and web sources we capture, and how every metric is fully traceable back to its origin. - [Standardization Guidelines](https://docs.tracenable.com/ghg-emissions/data-collection-and-methodology/standardization-guidelines.md): Learn how Tracenable standardizes GHG emissions data by mapping disclosures to GHG Protocol scopes and sources, clarifying Scope 2 methods, and ensuring comparability. - [Calculation Logic](https://docs.tracenable.com/ghg-emissions/data-collection-and-methodology/calculation-logic.md): Discover how Tracenable applies transparent accounting logic to standardize Greenhouse Gas (GHG) Emissions data across Scope 1, Scope 2, and Scope 3 for consistency and traceability. - [Quality Assurance](https://docs.tracenable.com/ghg-emissions/data-collection-and-methodology/quality-assurance.md): Discover how Tracenable validates Greenhouse Gas (GHG) Emissions data through automated checks, statistical tests, and human review to deliver audit-grade reliability. - [Data Dictionary](https://docs.tracenable.com/ghg-emissions/data-dictionary.md): GHG Emissions data dictionary: definitions of metrics, scopes, categories, units, and attributes in Tracenable’s dataset, complete with formats and real company examples. - [Introduction](https://docs.tracenable.com/energy/introduction.md): Get introduced to Tracenable’s Energy Dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge. - [Definitions & Terminology](https://docs.tracenable.com/energy/definitions-and-terminology.md): Understand what qualifies as energy data, its classifications, main energy types (total, electricity, heat), energy flow type, and renewability. - [Data Dimensions & Metrics](https://docs.tracenable.com/energy/data-dimensions-and-metrics.md): Learn how Energy data is structured in Tracenable’s dimensional model, with four core dimensions, and explore the full set of metrics derived from their combinations. - [References & Standards](https://docs.tracenable.com/energy/references-and-standards.md): Discover the foundational references and reporting standards that shape Tracenable’s Energy Dataset. - [Data Collection Methodology](https://docs.tracenable.com/energy/data-collection-methodology.md): Learn how Tracenable collects, standardizes, and validates corporate energ data through a five-step human-in-the-loop methodology, with links to detailed subpages on sources, standardization, and QAs. - [Data Sources](https://docs.tracenable.com/energy/data-collection-methodology/data-sources.md): See where Tracenable’s energy data comes from. Learn which corporate disclosures, registries, and web sources we capture, and how every metric is fully traceable back to its origin. - [Standardization Guidelines](https://docs.tracenable.com/energy/data-collection-methodology/standardization-guidelines.md): Learn how Tracenable standardizes corporate energy data through consistent mapping and classification rules, ensuring energy reporting remains accurate, comparable, and aligned with global standards. - [Calculation Logic](https://docs.tracenable.com/energy/data-collection-methodology/calculation-logic.md): Learn how Tracenable infers missing energy metrics using clear bottom-up and top-down accounting rules, ensuring data is complete, consistent, and transparent. - [Quality Assurance](https://docs.tracenable.com/energy/data-collection-methodology/quality-assurance.md): Discover how Tracenable validates energy data through automated checks, statistical tests, and human review to deliver audit-grade reliability. - [Data Dictionary](https://docs.tracenable.com/energy/data-dictionary.md) - [Introduction](https://docs.tracenable.com/climate-targets/introduction.md): Get introduced to Tracenable’s Climate Targets dataset, including its scope, key characteristics, and unique value, and get redirected to detailed pages to deepen your knowledge. - [Definitions & Terminology](https://docs.tracenable.com/climate-targets/definitions-and-terminology.md): Understand core terms in climate target reporting, including GHG Protocol-defined emissions scopes, reduction targets, baselines, absolute vs. intensity targets, and GHG target components. - [Data Dimensions & Metrics](https://docs.tracenable.com/climate-targets/data-dimensions-and-metrics.md): Discover how Tracenable structures Climate Targets data with one core GHG reduction metric, standardized under the GHG Protocol and SBTi. - [References & Standards](https://docs.tracenable.com/climate-targets/references-and-standards.md): Learn how Tracenable’s Climate Targets dataset aligns with the GHG Protocol, Paris Agreement, SBTi, EU CSRD, GRI, CDP, TCFD, SASB, and PCAF for global comparability. - [Data Collection Methodology](https://docs.tracenable.com/climate-targets/data-collection-methodology.md): Learn how Tracenable collects, standardizes, and validates corporate Climate Targets data through a five-step human-in-the-loop methodology. - [Data Sources](https://docs.tracenable.com/climate-targets/data-collection-methodology/data-sources.md): See where Tracenable’s Climate Targets data comes from. Learn which corporate disclosures, registries, and web sources we capture, and how every data point is fully traceable back to its origin. - [Standardization Guidelines](https://docs.tracenable.com/climate-targets/data-collection-methodology/standardization-guidelines.md): Learn how Tracenable standardizes corporate GHG reduction targets for consistency, comparability, and alignment with GHG Protocol and SBTi. - [Calculation Logic](https://docs.tracenable.com/climate-targets/data-collection-methodology/calculation-logic.md): Discover how Tracenable reconciles corporate climate targets across disclosures to deliver consistent, complete, and up-to-date GHG reduction data. - [Quality Assurance](https://docs.tracenable.com/climate-targets/data-collection-methodology/quality-assurance.md): Discover how Tracenable validates Climate Targets data through automated checks, statistical tests, and human review to deliver audit-grade reliability. - [Data Dictionary](https://docs.tracenable.com/climate-targets/data-dictionary.md): Explore Tracenable’s Climate Targets data dictionary for complete field definitions of GHG reduction targets, baselines, target years, GHG Protocol scopes, and intensity metrics. --- # Agent Instructions This documentation is published with GitBook. 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