Skip to the answer

Disclosure GuidesPillar guides, articles, FAQ and expert notes

Level 2 · Decision guide·IFRS S1 / S2 · Disclosure guides

Can One Dataset Support IFRS S1/S2, ESRS, GRI and CDP?

A master data model for shared evidence, controlled adjustments and framework-specific reporting decisions

Who this is for A 8-minute read for reporting teams working through IFRS S1 and S2 alongside TCFD, UK SRS S2, ESRS, GRI and CDP, and for reviewers testing whether the evidence behind it holds.

Published passport

Current as at 10 August 2026
RK Reviewed by Dr Ross KurinkoLinkedIn Strategic ESG Advisor · IFRS S1 & S2 / GRI / ESRS expert GRI Certified Global Trainer · PhD, University of Cambridge · ESG-AI expert 15+ years on FTSE 100 & Fortune Global 500 disclosures Canary Wharf, London LRA educational guidance · Not issued or endorsed by IFRS

Edition written against

IFRS S1 / S2 (August 2026)

source check 1 August 2026

Published

10 Aug 2026

Knowledge Hub guide

Last reviewed

10 Aug 2026

Short answer

The answer, before the reasoning

Yes. One controlled master data and evidence model can support IFRS S1/S2, ESRS, GRI and CDP and can substantially reduce repeated collection, calculation and review. It cannot produce one universal materiality conclusion, boundary, reporting period, level of granularity or compliance claim.

The master layer should retain stable metric definitions, source data, evidence, methods, owners, controls and versions. Separate framework decision layers then determine whether, how and where each item is reported. The most reliable architecture therefore reuses data and evidence while preserving framework-specific materiality, scope, timing, presentation and sign-off.

Rule

KNOWLEDGE CARD PACKAGE

<p>Public practitioner article followed by an editor and publisher pack with SEO, mapping, sources, update triggers and review flags.</p>

Rule

IFRS-INT-001

<p>Can One Dataset Support IFRS S1/S2, ESRS, GRI and CDP? A master data model for shared evidence, controlled adjustments and framework-specific reporting decisions</p>

In practice

Type

Type Tier Audience — Current context
Multi-framework data architecture guide Tier 4 · Interoperability Guide Reporting, finance, sustainability, data, risk, IT, assurance and programme-management teams — Current IFRS, GRI and CDP materials checked to 1 August 2026; 2026 revised ESRS adoption status separately flagged

Why this question matters

The practical risk is not a lack of terminology. It is that a familiar framework, dataset or metric is treated as a complete reporting conclusion without testing the governing IFRS requirements, materiality, evidence and publication claim.

Quick orientation

Quick orientation

Applies to
Organisations preparing two or more investor, impact, regulatory or environmental disclosure outputs from overlapping data.
Primary decision
Which information can be mastered once and which judgements or transformations must remain framework-specific?
Key sources
IFRS S1/S2, ESRS-ISSB Interoperability Guidance, GRI interoperability materials and CDP framework-alignment resources.
Common confusion
Equating one shared data field with one shared disclosure requirement or compliance conclusion.

The correct design principle: one evidence base, controlled output adapters

Interoperability works best below the final disclosure. Source data, calculation files, policies, minutes, risk records and data-owner confirmations can often be collected once. A controlled data model can also standardise units, factor versions, organisational identifiers, geographies and evidence links. This reduces duplicate requests and inconsistent numbers.

The final outputs still answer different questions. IFRS S1/S2 focus on sustainability-related risks and opportunities that could affect the entity’s prospects and the information needs of investors, lenders and other creditors. GRI focuses on the organisation’s most significant impacts on the economy, environment and people. ESRS combine impact and financial materiality under EU requirements. CDP is a questionnaire and disclosure system with environmental modules, scoring logic and framework mappings. Similar datapoints can therefore require different inclusion decisions, narratives, boundaries or supporting explanations.

Four layers of a master reporting model

Figure 1. A shared master data and evidence layer feeds four controlled output adapters; it does not collapse framework-specific decisions.

In practice

Layer Purpose Minimum control
1. Source and evidence Original transactions, meter data, HR records, supplier information, risk registers, policies, contracts, calculations and approvals. Immutable source reference, owner, extraction date, access level and retention rule.
2. Master data objects Stable definitions for entities, sites, products, workers, emissions, energy, water, incidents, targets, risks and impacts. Unique ID, unit, boundary, method, factor/version, period, estimate status and data-quality attributes.
3. Framework decision layer Materiality, inclusion, disaggregation, boundary, timing, narrative, omission and claim decisions for each framework. Documented criteria, preparer, reviewer, approval and version.
4. Output adapters ISSB disclosure, ESRS sustainability statement, GRI Content Index/report and CDP response. Controlled transformation, reconciliation, cross-reference, final sign-off and publication lock.

In practice

Recommended master data fields

Field group Example fields Why it matters
Identity Metric ID, concept ID, legal entity, site, product, activity, geography and value-chain relationship. Enables traceable aggregation and framework-specific boundaries.
Measurement Unit, numerator, denominator, method, factor source/version, gross/net status, estimate/proxy and uncertainty. Prevents the same label from hiding different calculations.
Time Reporting period, measurement date, cut-off, restatement status and publication cycle. Supports different calendars without silently mixing periods.
Evidence Source-system extract, calculation file, policy, approval, external evidence and confidentiality class. Allows review and assurance without searching across email chains.
Ownership and controls Data owner, preparer, reviewer, control performed, exceptions and remediation. Creates accountability and segregation of duties.
Framework mappings Potential IFRS, ESRS, GRI and CDP references, relationship type and residual differences. Supports reuse while keeping mapping conditional and versioned.
Publication decisions Materiality conclusion, boundary adjustment, disaggregation, location, omission, assurance scope and claim. Makes the final output reproducible and reviewable.

In practice

What can be shared, and what must remain separate

Reporting output Strong candidates for reuse Separate decisions that remain necessary
IFRS S1/S2 GHG inventory, energy data, risk register, scenario inputs, policies, financial-effects analysis, governance evidence. Investor-focused materiality, same reporting entity as financial statements, current/anticipated financial effects, ISSB timing and compliance statement.
ESRS Many environmental and social datasets, policies, action plans, targets, value-chain evidence and financial-risk analysis. Double materiality, EU scope and value-chain rules, ESRS-specific datapoints, location in the sustainability statement, digital tagging and legal/assurance requirements.
GRI Impact inventory, stakeholder and due-diligence evidence, environmental/social metrics, policies and management approach. Significant-impact assessment, Sector/Topic Standard selection, GRI reporting boundary logic, Content Index and statement of use.
CDP Climate, forests, water, governance, risk, scenario, transition, targets and emissions data. Questionnaire routing, scoring-relevant completeness, response period, requested granularity, definitions and platform validation.

Rule

VERSION GATE

<p>The joint 2024 ESRS-ISSB Interoperability Guidance was prepared against the first ESRS set. The European Commission adopted revised ESRS on 3 July 2026, but the delegated act was not in force until publication in the Official Journal at the source-check date. Mapping and data models must therefore carry an ESRS version field and be revalidated when the revised text becomes legally effective.</p>

In practice

Controlled reporting adjustments

Adjustment Example Required evidence
Boundary adjustment A GHG figure is measured for the accounting group, while an impact disclosure requires additional value-chain information. Boundary reconciliation and explanation of included/excluded activities.
Materiality adjustment A workforce metric is not material for IFRS S1 but is required or material under ESRS or GRI. Separate decision records; no forced common conclusion.
Granularity adjustment CDP requests country or facility detail while the ISSB disclosure is aggregated. Data lineage proving that output totals reconcile to the same master records.
Timing adjustment CDP submission occurs before annual financial reporting is authorised. Cut-off protocol, estimate flag, subsequent-event review and controlled refresh.
Definition adjustment A “worker” or “renewable energy” definition differs between outputs. Versioned definition mapping and transformation rule.
Narrative adjustment The same underlying incident supports impact disclosure, risk disclosure and questionnaire response with different emphasis. Shared evidence plus framework-specific drafting and legal review.

In practice

A seven-step implementation workflow

Step Action Output
1 Inventory current reports, questionnaires, spreadsheets, systems and evidence. Data and disclosure landscape.
2 Define stable concepts, IDs, entities, sites, periods, units and access levels. Master data dictionary.
3 Build calculation and evidence lineage for priority metrics and narratives. Traceable data objects and evidence objects.
4 Create versioned mappings to framework requirements without claiming equivalence. Mapping register with residual differences.
5 Design separate materiality, boundary, timing, omission and claim workflows. Framework decision records.
6 Generate controlled output adapters and reconciliations. Draft reports, Content Index and questionnaire responses.
7 Operate annual change control for standards, factors, structures and corrections. Version log, review queue and approved release.

Hypothetical example: one GHG dataset, four outputs

A hypothetical manufacturer maintains one controlled GHG inventory with entity, site, source, scope, category, factor, calculation method, data-quality and evidence fields. The inventory supports IFRS S2, ESRS E1, GRI climate disclosures and CDP. The published values are not produced by copying the same table four times.

The IFRS output applies ISSB materiality and links emissions to transition risk, targets and financial effects. The ESRS output applies double materiality and EU-specific disclosures. The GRI output explains significant climate impacts and management. CDP requests additional questionnaire detail and may use a different submission cut-off. Reconciliations show which totals are common, which are transformed and why.

In practice

Weak versus stronger architecture

Weak approach Stronger approach
A single spreadsheet has columns labelled IFRS, ESRS, GRI and CDP. Stable master objects, evidence lineage, versioned mappings and separate decision workflows.
One materiality flag controls all outputs. Impact, financial, regulatory and questionnaire decisions are recorded separately.
Differences are fixed manually in the final report. Controlled transformations are defined, reviewed, reconciled and repeatable.
“Aligned across all frameworks” is used as a marketing claim. The basis of each report and any residual differences are described precisely.

Common mistakes

Designing the database around disclosure numbers rather than stable business concepts and source evidence.

Treating interoperability guidance or mappings as a formal statement of equivalence.

Using one “material” flag for investor materiality, impact materiality, double materiality and questionnaire completeness.

Losing the reporting-period version of ESRS, CDP questions, GRI Standards or ISSB guidance.

Combining organisational and value-chain boundaries without a reconciliation.

Allowing manual last-mile adjustments with no owner, formula, evidence or approval.

Assuming a CDP response, GRI report or ESRS statement automatically fulfils IFRS compliance requirements.

Readiness

Master data readiness checklist

  • Every metric and narrative claim has a stable ID and evidence owner.
  • Entity, site, value-chain, period and methodology dimensions are stored separately.
  • Source, factor and framework versions are visible.
  • Materiality and boundary decisions are framework-specific and approved.
  • All transformed outputs reconcile to the master record.
  • Estimates, proxies, uncertainty and remediation are retained.
  • Confidential and restricted evidence is access-controlled.
  • Changes to standards automatically trigger mapping and article review.
  • Compliance and assurance claims are approved outside the data engineering workflow.

In practice

Related requirements and next steps

Relation Reference Why it matters
Direct IFRS S1 and IFRS S2 Investor-focused disclosure requirements, timing, entity and compliance.
Interoperability ESRS-ISSB Guidance, GRI-ESRS Index and GRI-ISSB materials Official or joint mapping support with explicit limits.
Application CDP 2026 framework alignment and mappings Questionnaire-level reuse and routing.
Next step Internal Controls over IFRS Sustainability Disclosures Govern the master data model and evidence trail.

Take it with you

The checklists as a working spreadsheet

Every checklist and table on this page, with empty status, owner and evidence columns for your team to fill in and keep.

Download .xlsx

✓ LRA AI Assistant · Human-in-the-loop

Ask about this guide

It answers from this page, and reaches into the linked disclosure cards when your question is about the standard itself. Your first two answers are free without signing in.

Try
2 free answers Automated · the LRA team is one click away

Go deeper · IFRS S1 / S2

IFRS S1 and S2 training

Financial materiality, scenario analysis and the S2 climate disclosures, applied to your own reporting.

Available as Guided Flex, Live Cohort, 1:1 Expert Mentorship or Corporate Programme.

See course formats
/en/knowledge-hub/disclosure-guides/ifrs-issb/ifrs-issb-alongside-tcfd-uk-srs-esrs-gri-cdp/can-one-dataset-support-ifrs-s1-s2-esrs-gri-and-cdp/