Epoch Virtual Standards Catalog

Epoch Virtual Standards Catalog

A normalised crosswalk of global sustainability-disclosure regulation

Shared with Trase. Snapshot generated 15 June 2026. An interactive viewer is in preparation; this document and the accompanying data export are the current reference.


What it is

The Virtual Standards Catalog reads every sustainability-disclosure obligation that matters from primary sources, normalises them into a single comparable structure, and reduces them to the underlying set of measurements a company actually has to collect.

For any data point it answers three questions:

  1. What is the single most-stringent requirement across every framework that covers it.
  2. How does that data point map across every relevant standard, down to the verbatim clause and citation.
  3. What do you collect once to satisfy many: the small set of measurements that feed obligations across dozens of frameworks.

Headline figures

Metric Value
Disclosure points (normalised) 863
Frameworks covered 56
Jurisdictions 6 plus the global voluntary layer
ESG topics 17
Data primitives (the things you measure) 88
Primary-source cited (verbatim-verified) 795 / 863 (92%)
Cross-framework links 30 merges + 67 cross-references

Of the 863 points: 480 mandatory, 105 conditional, 11 comply-or-explain, 363 voluntary. 289 are quantitative metrics and 47 are site-level or geospatial.

Largest topics by disclosure count: business conduct and governance (263), climate and GHG (189), biodiversity and ecosystems (106), value-chain workers (80), water (42), pollution (38).

Coverage

Obligations concentrate in the EU, with a widening ring of national regimes and a global voluntary layer that applies in every market.

Jurisdiction Frameworks Examples
European Union 26 CSRD/ESRS (12 standards, in-force plus the 2026 post-Omnibus draft), EUDR, CSDDD, SFDR, EU Forced Labour Regulation
United States 3 SEC Climate Rule, California SB 253, California SB 261
United Kingdom 2 Modern Slavery Act 2015, UK SDR
Australia / Japan / Singapore 1 each ASRS, SSBJ, SGX
Global (apply everywhere) 22 ISSB / IFRS S1–S2, TNFD, TCFD, GRI (11 standards), SASB, CDP, GHG Protocol, SBTi, OECD MNE Guidelines, UNGPs

Commodity scope

Every disclosure row is tagged with the commodities it applies to, so a producer or trader reports against the union of its commodity-specific standards plus the commodity-agnostic corporate frameworks.

The taxonomy is built around the EUDR-7 (cattle, cocoa, coffee, oil palm, rubber, soy, wood) with an extension set (sugarcane, cotton, seafood and others). Alongside the corporate frameworks, the catalog covers the commodity scheme standards directly, including RSPO, RTRS, Bonsucro, Better Cotton, FSC and PEFC, Fairtrade Cocoa, 4C, ProTerra, ASC and MSC, and LWG.

This makes the catalog directly usable for commodity supply-chain work: for a given commodity you can read the binding disclosure bar across regulation and certification in one place.

Collect once, report many

The 863 disclosures collapse onto a small set of measurements. A handful of primitives carry a large share of the corpus.

Data primitive Disclosures fed Frameworks
Scope 2 GHG emissions 30 14
Scope 3 GHG emissions 30 13
Scope 1 GHG emissions 29 15
Site water-stress classification (geospatial) 11 6
Energy consumption 10 6
Water consumption 10 6
Site protected-area proximity (geospatial) 8 5
Site / plot geolocation (geospatial) 7 5

The most universal single disclosures recur across many frameworks, so they are collected once and reported everywhere: gross Scope 3 GHG emissions (10 frameworks), management of material topics (8), climate / GHG reduction targets (8), a Paris-aligned 1.5°C transition plan (7), gross Scope 2 GHG emissions (7), and total Scopes 1+2+3 (7).

The geospatial primitives are computed from site location. A single land-cover and deforestation computation, for example, feeds disclosures across EUDR, TNFD, ESRS E4 and CDP at once.

Why it matters

What is included with this document

An interactive, login-gated viewer covering most-stringent, gap-to-close, cross-standard mapping and the collect-once primitive graph for any data point is in preparation and will follow.