Explore and Influence our Growing Collection of Datasets

At Tracenable, we believe that finding the right data should be simple, precise, and intuitive. That's why we've structured our data catalog into four logical layers—each designed to help you navigate seamlessly from broad topics to specific data points:

• Categories: The catalog begins with four primary categories that reflect high-level areas of corporate sustainability: Environmental, Social, Governance, and Other.
• Datasets: Within each category, data is organized into thematic sets that represent specific sustainability and performance topics.
  For example, our Environmental category includes datasets like GHG Emissions, Water Management, and Energy Management, among others.
• Dimensions: Each thematic is enriched by one or more dimensions, which provide different ways of analyzing or slicing the data.
  For example, the GHG Emissions thematic can be broken down by: - Scope (e.g. Scope 1, 2, or 3). - Type (e.g. total emissions vs. sources of emissions) These dimensions define the structure and context of the data within a thematic.
• Metrics: Metrics are the most granular layer. Each metric represents a unique combination of dimensions that defines a specific data point.
  For instance, the metric “Total Scope 1 Emissions” combines the dimensions “Total” and “Scope 1” within the GHG Emissions thematic.