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Level 2 · Decision guide·UK SRS S1 · Disclosure guides

Can One Dataset Support UK SRS S1, IFRS S1, ESRS and GRI?

A shared data and evidence model with separate materiality, boundary, measurement, presentation and compliance decisions

Who this is for A 11-minute read for reporting teams working through UK SRS alongside the Strategic Report and the NFSIS, and for reviewers testing whether the evidence behind it holds.

Short answer

The answer, before the reasoning

Yes. One controlled data and evidence model can support UK SRS S1, IFRS S1, ESRS and GRI, but it should not attempt to produce one universal report automatically. The shared layer should hold stable source data, definitions, boundaries, evidence, methods, owners and controls.

Separate decision layers should then apply each framework's materiality lens, reporting entity and value-chain scope, metric rules, presentation requirements and compliance statement. A controlled adjustment log is the bridge between the common data object and each published output.

ANSWER · EXPLAIN · APPLY · EVIDENCE · CONNECT · PUBLISH

London Reporting Academy · Working publication package · 2 August 2026

Quick orientation

Quick orientation

Applies to
Multi-framework reporters and groups building a reporting data platform.
Primary decision
Which information is common source data and which element is framework-specific.
Core control
A versioned adjustment log from source object to published disclosure.
Key sources
UK SRS S1, IFRS S1, ESRS-ISSB interoperability guidance, GRI-ESRS index and GRI/IFRS joint statement.
Common confusion
Treating mapping or interoperability as equivalence.

The right objective: one evidence system, not one universal answer

The four reporting systems overlap because they address many of the same real-world matters: climate, water, biodiversity, workforce, value chains, governance, policies, actions, targets and metrics. The overlap creates a strong case for shared source data. It does not remove the differences in users, materiality, reporting boundaries, calculation rules, presentation and statements of compliance.

A useful architecture separates three things that are often mixed in a spreadsheet: the fact, the judgement and the disclosure. The fact might be 1,250 cubic metres of metered water withdrawal at a site. The judgement determines whether and how that fact is relevant under each framework. The disclosure combines the fact with scope, methodology, context, financial or impact analysis, comparatives, targets and limitations.

Master organisational and value-chain data

A group should maintain stable identifiers for legal entities, subsidiaries, associates, joint ventures, facilities, countries, business lines, products, suppliers and other value-chain relationships. Each record should carry effective dates so acquisitions, disposals, closures and supplier changes can be reconstructed for the reporting period.

This master data can serve all four systems, but the reporting perimeter derived from it can differ. UK SRS S1 and IFRS S1 start with the same reporting entity as the related financial statements and then consider value-chain scope for each risk or opportunity. ESRS applies its legal reporting perimeter and value-chain requirements. GRI focuses on impacts across activities and business relationships and applies GRI reporting requirements. The shared register should therefore be richer than any single report boundary.

Issue, dependency, impact, risk and opportunity universe

Use one issue universe with distinct fields rather than separate topic lists. A record can capture the activity or relationship, dependency, actual or potential impact, affected stakeholder or resource, risk driver, sustainability-related risk or opportunity, time horizon, locations, financial pathways, evidence and management response.

Framework-specific materiality conclusions then sit beside the common description: UK SRS investor materiality, IFRS investor materiality, ESRS impact materiality, ESRS financial materiality and GRI impact significance. This avoids losing significant impacts during an investor-risk screening and avoids assuming that every significant impact is material to primary users.

Metrics, methods and evidence

The shared layer can hold raw activity data, payroll records, incident data, meter readings, procurement data, emissions factors, survey results, complaints, policies, board minutes, calculation files and external datasets. Each data object should include the unit, period, currency where relevant, source system, extraction date, owner, method, estimation status, quality flag, evidence link, preparer, reviewer and retention rule.

A metric should not be represented only by a label and a number. The data dictionary needs a technical definition, numerator, denominator, population, organisational and value-chain boundary, treatment of acquisitions and disposals, frequency, restatement policy, assumptions and limitations. These fields make framework reconciliation possible.

In practice

2. What must remain separate

Decision layer Why it cannot be universal Required control
Applicability and legal scope UK, international and EU reporting routes apply to different entities and periods; GRI may be voluntary or used for other purposes. Jurisdiction, entity, period, applicable instrument and responsible legal reviewer.
Materiality UK SRS/IFRS use primary-user investor materiality; ESRS uses double materiality; GRI uses significant impacts. Separate criteria, thresholds, evidence, conclusion and approver by framework.
Reporting boundary Financial-statement entity, value-chain scope, ESRS perimeter and GRI impact boundary can differ. Metric-specific boundary record and reconciliation to the group master data.
Metric requirement A metric may be required, optional, industry-associated or entity-specific depending on the framework and topic. Requirement ID, source, applicability decision and non-use rationale.
Method and definition Similar metric names can use different populations, factors, units or calculation rules. Core raw data plus framework-specific calculation version.
Presentation Investor, double-materiality and impact reporting require different context and connections. Framework-specific narrative, disaggregation, cross-reference and limitation record.
Compliance claim Each framework has its own all-requirements or statement-of-use logic. Separate disclosure index, completion checklist and approval.

A. Core data object

The core object is the most granular reliable fact that the organisation can govern. Examples include an electricity invoice line, a payroll employee-month, a safety incident, a supplier assessment, a grievance case, a training completion, a water meter reading or a board approval. It should retain the original source reference and should not be overwritten when a framework changes.

B. Calculation object

A calculation object transforms source data into a metric. It records formula, factors, conversion tables, aggregation rules, estimates, exclusions, method owner and version. Multiple calculations can legitimately use the same source object. For example, a safety incident dataset can produce RIDDOR counts, total recordable incidents, severity rates and a supplier-worker indicator, each with a different definition.

C. Evidence and control object

The evidence object connects the fact and calculation to source files, approvals, reconciliations, review findings and remediation. It distinguishes public evidence from restricted records, which matters for grievances, personnel data, commercially sensitive information and legal privilege.

D. Framework output object

The output object records the framework, edition, disclosure requirement, materiality conclusion, report location, narrative context, published value, disaggregation, comparative, cross-reference, compliance statement and approval. It is this layer - not the source dataset - that changes when standards or reporting routes change.

Visual: controlled architecture for four frameworks

Source systems feed a common data and evidence model. A controlled adjustment log records the framework-specific decisions before publication under UK SRS, IFRS, ESRS or GRI.

4. The controlled adjustment log

The adjustment log is the key interoperability control. It explains why a common source object produces the same, adjusted or excluded output in each framework. The log should be auditable and should not rely on undocumented spreadsheet edits.

In practice

Field Purpose Example
Adjustment ID Stable reference for review and change control. ADJ-WAT-2026-014
Core data object Links to unchanged source fact and evidence. Site A metered withdrawal, monthly readings.
Framework and edition Prevents an output being detached from its source requirement. UK SRS S1 February 2026; GRI 303 edition applied.
Materiality decision Explains whether the item enters the report and under which lens. UK: material operational risk; GRI: significant community and ecosystem impact.
Boundary adjustment Records included entities, sites or value-chain categories. UK group perimeter plus exposed supplier sites; GRI impact locations.
Method adjustment Explains formula, factor, estimation or definition differences. Purchased water only versus total withdrawal by source.
Presentation adjustment Records disaggregation, narrative and cross-reference. UK financial-effects narrative; GRI location and impact context.
Approval Provides segregation and accountability. Data owner, framework lead and technical reviewer.
Change reason Supports comparatives and future updates. Revised site boundary after acquisition.

UK SRS S1

• Confirm the reporting entity is the same as the related financial statements.

• Identify risks and opportunities that could affect prospects and apply primary-user materiality.

• Apply UK sources-of-guidance provisions, including the optional nature of specific SASB reference.

• Select industry-associated and entity-specific metrics and disclose their sources and methods.

• Connect information across governance, strategy, risk management, metrics, targets and financial statements.

• Test UK reliefs, timing and compliance statement separately.

IFRS S1

• Apply the IFRS investor-materiality lens and IFRS reporting-entity requirements.

• Document mandatory consideration of SASB topics and metrics.

• Check IFRS transition reliefs and date of initial application.

• Complete the IFRS S1/S2 disclosure index and explicit statement test.

ESRS

• Confirm legal scope, reporting perimeter and the ESRS edition applicable to the reporting period.

• Apply double materiality: impact materiality and financial materiality, including required value-chain analysis.

• Map common data to ESRS disclosure requirements and datapoints without assuming equivalence from a crosswalk.

• Apply ESRS-specific definitions, phase-ins, presentation and sustainability-statement requirements.

• Retain the EU legal and assurance trail separately from voluntary UK or GRI reporting.

GRI

• Determine material topics from the organisation's most significant impacts across activities and business relationships.

• Use applicable Sector Standards and relevant Topic Standards.

• Provide impact and management context, not only a metric value.

• Maintain the GRI Content Index, omissions and statement of use independently.

6. Interoperability documents: how to use them safely

Official interoperability guidance and indexes are valuable discovery and reconciliation tools. They can show where definitions, architecture or disclosures are closely aligned and can identify additional requirements. They should not be loaded into a system as a permanent equivalence table without version and review controls.

The ESRS-ISSB interoperability guidance explains a high degree of alignment while making clear that entities still need to apply the standards themselves. The GRI-ESRS interoperability index similarly supports navigation but notes differences in scope, granularity and definitions. The IFRS Foundation-GRI joint statement emphasises common disclosures serving distinct purposes. These documents support a mapping relation, not an automatic data substitution rule.

1. Store the source mapping document, publication date and direction of mapping.

2. Classify the relationship as direct, supporting, partial, presentation-only or no match.

3. Record residual differences in definition, scope, materiality, unit, disaggregation and narrative context.

4. Assign a reviewer and review date; do not let the mapping update independently of the underlying standards.

5. When one framework changes, automatically place affected mappings, calculations and articles into a review queue.

7. Hypothetical example: one water dataset, four outputs

The shared dataset includes meter readings, purchased-water invoices, source type, facility, catchment, reporting period, estimation flag, evidence file and reviewer. The issue register links community impacts, ecosystem dependency, operational risk, permit risk and financial planning.

For UK SRS S1, the output focuses on material risks and opportunities affecting prospects, concentration in the value chain, strategy, financial effects and risk-specific metrics. For IFRS S1, the output may be substantially the same, but the source-of-guidance file also demonstrates mandatory SASB consideration. For ESRS, the organisation applies the applicable double-materiality and datapoint requirements for the relevant edition. For GRI, it reports significant impacts, management approach and relevant Topic Standard information.

The headline total may be identical across outputs only if the boundaries, sources and definitions match. The narrative and disaggregation are unlikely to be identical because each framework answers a different reporting question.

In practice

8. Governance and internal controls

Control Owner Evidence
Master-data change approval Group finance / reporting operations Entity and facility change log; acquisition/disposal approval.
Metric dictionary approval Methodology owner Definition, formula, population, factor and version sign-off.
Source-to-metric reconciliation Data owner and controller Recalculation, ledger or system reconciliation and exceptions.
Framework adjustment review Framework technical lead Adjustment log, source requirement and rationale.
Segregation of duties Control owner Preparer, reviewer and approver access record.
Report-to-system tie-out Disclosure controller Published value, report location and source-object trace.
Change and restatement control Technical reporting Method change, comparative impact and disclosure approval.
Access and evidence retention Data governance / IT Role-based access, audit log, retention and restricted evidence handling.

In practice

9. Common mistakes

Mistake Why it fails Correction
Building the data model from one disclosure index Other frameworks may require different boundaries, context or materiality evidence. Model real-world facts and dimensions first; map outputs second.
Treating a mapping as a calculation rule Mappings rarely prove identical definitions or scope. Create a reviewed adjustment record for every reused output.
Keeping only final aggregate numbers The organisation cannot restate, disaggregate or trace the value after a standard change. Retain granular source data and calculation lineage.
Using one materiality flag Investor, double-materiality and impact conclusions are collapsed. Store separate framework and lens conclusions.
Overwriting source data to fit a report Historical evidence and other framework outputs are corrupted. Never alter the core object; create a versioned calculation or adjustment.
One combined compliance checklist Framework-specific gaps can be hidden by common content. Maintain separate disclosure indexes and approval gates.

Readiness

10. Readiness checklist

  • • Legal entities, facilities, value-chain relationships and effective dates use stable IDs.
  • • The issue universe links dependencies, impacts, risks, opportunities and financial pathways.
  • • Materiality conclusions are stored separately for UK SRS, IFRS, ESRS impact, ESRS financial and GRI.
  • • Core data objects retain source evidence and are never overwritten by reporting adjustments.
  • • Metric definitions include population, boundary, formula, factors, period, assumptions and restatement rules.
  • • Every output is tagged with framework, edition, requirement and reporting period.
  • • The adjustment log records materiality, boundary, method, presentation and approval differences.
  • • Mappings include direction, source document, version, residual differences and review status.
  • • Separate compliance or statement-of-use checklists are completed for each framework.
  • • Changes to a standard automatically trigger review of related mappings, calculations, controls and disclosures.

Primary sources

UK SRS S1 General Requirements for Disclosure of Sustainability-related Financial Information. February 2026, especially paragraphs 17-24, 46-64, 72-75 and B2-B11 Official source

IFRS S1 General Requirements for Disclosure of Sustainability-related Financial Information. June 2023 Official source

ESRS-ISSB Standards Interoperability Guidance. May 2024; use as guidance, not equivalence Official source

GRI-ESRS Interoperability Index. November 2024; mapping aid with residual differences Official source

IFRS Foundation and GRI joint statement. Common disclosures serving distinct purposes, May 2026 Official source

European Commission - revised ESRS adoption. 3 July 2026; scrutiny and application status Official source

GRI 1 and GRI 3. Impact reporting and material-topic requirements Official source

Questions

Questions people ask

Can one ESG dataset support four reporting frameworks?

One controlled data and evidence model can support UK SRS S1, IFRS S1, ESRS and GRI, but it should not attempt to produce one universal report automatically. The shared layer should hold stable source data, definitions, boundaries, evidence, methods, owners and controls. Separate decision layers should then apply each framework's materiality lens, reporting entity and value-chain scope, metric rules, presentation requirements and compliance statement.

What must stay separate between UK SRS, IFRS, ESRS and GRI?

One controlled data and evidence model can support UK SRS S1, IFRS S1, ESRS and GRI, but it should not attempt to produce one universal report automatically. The shared layer should hold stable source data, definitions, boundaries, evidence, methods, owners and controls. Separate decision layers should then apply each framework's materiality lens, reporting entity and value-chain scope, metric rules, presentation requirements and compliance statement.

What is a controlled adjustment log?

Source systems feed a common data and evidence model. A controlled adjustment log records the framework-specific decisions before publication under UK SRS, IFRS, ESRS or GRI.

Does an interoperability index prove equivalence?

The ESRS-ISSB interoperability guidance explains a high degree of alignment while making clear that entities still need to apply the standards themselves. The GRI-ESRS interoperability index similarly supports navigation but notes differences in scope, granularity and definitions.

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