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| [[dido:01-fdis-ra:02-background-and-motivation:start|Return to 2. Background and Motivation]] | [[dido:01-fdis-ra:02-background-and-motivation:start|Return to 2. Background and Motivation]] |
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| Although this specification is motivated by the [[fxdemo:dido_99_annexes:annex-b-terms-and-definitions:f:fdta|Financial Data Transparency Act (FDTA)]] [R1], the architectural challenges it addresses are not unique to the United States or to financial reporting. | Although this specification is motivated by the [[dido:99_annexes:annex-b-terms-and-definitions:f:fdta|Financial Data Transparency Act (FDTA)]] [[dido:99_annexes:annex-c-references:r1-financial-data-transparency-act-2022|[R1]]], the architectural challenges it addresses are not unique to the United States or to financial reporting. |
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| Regulators and standards bodies across multiple jurisdictions pursue overlapping objectives for data produced through statutory and regulatory reporting regimes. These objectives include machine readability, accessibility, comparability across institutions and reporting periods, auditability, and support for automated analysis [R3, R4, R5, R6, R7, R8]. | Regulators and standards bodies across multiple jurisdictions pursue overlapping objectives for data produced through statutory and regulatory reporting regimes. These objectives include machine readability, accessibility, comparability across institutions and reporting periods, auditability, and support for automated analysis [[dido:99_annexes:annex-c-references:r3-eu-corporate-sustainability-reporting-directive|[R3]]], [[dido:99_annexes:annex-c-references:r4-european-single-electronic-format|[R4]]], [[dido:99_annexes:annex-c-references:r5-making-tax-digital|[R5]]], [[dido:99_annexes:annex-c-references:r6-asic-digital-reporting-and-data-standards|[R6]]], [[dido:99_annexes:annex-c-references:r7-apra-data-collection-and-reporting-modernisation|[R7]]], [[dido:99_annexes:annex-c-references:r8-ifrs-taxonomy-and-digital-financial-reporting|[R8]]]. |
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| Initiatives in the European Union, the United Kingdom, Australia, and other jurisdictions reflect a shared recognition that document-centric reporting alone does not adequately support modern oversight, supervision, and cross-system analysis [R3, R4, R5, R6, R7]. Legal mechanisms, reporting scopes, technical instruments, and implementation timelines differ among these regimes. Nevertheless, each regime faces the recurring problem of preserving consistent and meaningful interpretation as reporting requirements, definitions, classifications, and analytical practices evolve [R3, R5, R8]. | Initiatives in the European Union, the United Kingdom, Australia, and other jurisdictions reflect a shared recognition that document-centric reporting alone does not adequately support modern oversight, supervision, and cross-system analysis [[dido:99_annexes:annex-c-references:r3-eu-corporate-sustainability-reporting-directive|[R3]]], [[dido:99_annexes:annex-c-references:r4-european-single-electronic-format|[R4]]], [[dido:99_annexes:annex-c-references:r5-making-tax-digital|[R5]]], [[dido:99_annexes:annex-c-references:r6-asic-digital-reporting-and-data-standards|[R6]]], [[dido:99_annexes:annex-c-references:r7-apra-data-collection-and-reporting-modernisation|[R7]]]. Legal mechanisms, reporting scopes, technical instruments, and implementation timelines differ among these regimes. Nevertheless, each regime faces the recurring problem of preserving consistent and meaningful interpretation as reporting requirements, definitions, classifications, and analytical practices evolve [[dido:99_annexes:annex-c-references:r3-eu-corporate-sustainability-reporting-directive|[R3]]], [[dido:99_annexes:annex-c-references:r5-making-tax-digital|[R5]]], [[dido:99_annexes:annex-c-references:r8-ifrs-taxonomy-and-digital-financial-reporting|[R8]]]. |
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| The FDTA explicitly relies on common data standards and coordinated standard-setting to promote interoperability among participating United States financial regulatory agencies [R1, R2]. The final joint rule published on 25 June 2026 establishes those joint standards. Separate agency rulemaking or other agency action determines whether and how an agency applies the standards to a particular collection of information. | The FDTA explicitly relies on common data standards and coordinated standard-setting to promote interoperability among participating United States federal financial regulatory agencies [[dido:99_annexes:annex-c-references:r1-financial-data-transparency-act-2022|[R1]]], [[dido:99_annexes:annex-c-references:r2a-fdta-joint-data-standards-final-rule|[R2a]]]. The final joint rule published on 25 June 2026 establishes those joint standards. Separate agency rulemaking or other agency action determines whether and how an agency applies the standards to a particular collection of information. |
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| This coordinated standards framework creates an opportunity to define a system-level [[fxdemo:dido_99_annexes:annex-b-terms-and-definitions:r:reference_architecture|Reference Architecture]] that addresses how systems interpret, validate, compare, and analyse reported data within and across organisational boundaries. This architectural focus extends beyond reporting formats, taxonomies, tagging mechanisms, and submission channels [R10]. | This coordinated standards framework creates an opportunity to define a system-level [[dido:99_annexes:annex-b-terms-and-definitions:r:reference_architecture|Reference Architecture]] that addresses how systems interpret, validate, compare, and analyze reported data within and across organizational boundaries. This architectural focus extends beyond reporting formats, taxonomies, tagging mechanisms, and submission channels [[dido:99_annexes:annex-c-references:r10-reference-architecture-description|[R10]]]. |
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| The Federated Data Interpretation Systems Reference Architecture (FDIS-RA) is jurisdiction-agnostic and domain-extensible. It does not assume a particular regulatory authority, reporting taxonomy, statutory regime, or legal framework. Instead, it addresses architectural concerns that recur in mission-critical and federated systems where organisations interpret and analyse regulated or mandated data and require long-term comparability, traceability, and [[fxdemo:dido_99_annexes:annex-b-terms-and-definitions:s:semantic]] stability [R3, R5, R8, R9]. | The [[dido:99_annexes:annex-b-terms-and-definitions:f:fdis-ra|Federated Data Interpretation Systems Reference Architecture (FDIS-RA)]] is jurisdiction-agnostic and domain-extensible. It does not assume a particular regulatory authority, reporting taxonomy, statutory regime, or legal framework. Instead, it addresses architectural concerns that recur in mission-critical and federated systems where organizations interpret and analyze regulated or mandated data and require long-term comparability, traceability, and [[dido:99_annexes:annex-b-terms-and-definitions:s:semantic|semantic]] stability [[dido:99_annexes:annex-c-references:r3-eu-corporate-sustainability-reporting-directive|[R3]]], [[dido:99_annexes:annex-c-references:r5-making-tax-digital|[R5]]], [[dido:99_annexes:annex-c-references:r8-ifrs-taxonomy-and-digital-financial-reporting|[R8]]], [[dido:99_annexes:annex-c-references:r9-xbrl-specifications-and-regulatory-use|[R9]]]. |
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| Agency-specific implementation of the FDTA joint data standards provides a concrete and timely motivating case. However, the architectural patterns and pressures examined by FDIS-RA extend beyond finance. Similar challenges arise in sustainability reporting, taxation, public health, environmental monitoring, safety oversight, and other regulated domains where independently produced information requires consistent interpretation across organisations, jurisdictions, systems, and time horizons. | Agency-specific implementation of the FDTA joint data standards provides a concrete and timely motivating case. However, the architectural patterns and pressures examined by FDIS-RA extend beyond finance. Similar challenges arise in sustainability reporting, taxation, public health, environmental monitoring, safety oversight, and other regulated domains where independently produced information requires consistent interpretation across organizations, jurisdictions, systems, and time horizons. |
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| For clarity and focus, this specification uses the FDTA as a representative exemplar [R1]. The architectural principles, components, interfaces, governance mechanisms, and quality attributes apply more broadly to federated data interpretation systems operating under evolving regulatory, legal, contractual, or policy constraints [R3, R4, R5, R6, R7, R8]. | For clarity and focus, this specification uses the FDTA as a representative exemplar [[dido:99_annexes:annex-c-references:r1-financial-data-transparency-act-2022|[R1]]]. The architectural principles, components, interfaces, governance mechanisms, and quality attributes apply more broadly to federated data interpretation systems operating under evolving regulatory, legal, contractual, or policy constraints [[dido:99_annexes:annex-c-references:r3-eu-corporate-sustainability-reporting-directive|[R3]]], [[dido:99_annexes:annex-c-references:r4-european-single-electronic-format|[R4]]], [[dido:99_annexes:annex-c-references:r5-making-tax-digital|[R5]]], [[dido:99_annexes:annex-c-references:r6-asic-digital-reporting-and-data-standards|[R6]]], [[dido:99_annexes:annex-c-references:r7-apra-data-collection-and-reporting-modernisation|[R7]]], [[dido:99_annexes:annex-c-references:r8-ifrs-taxonomy-and-digital-financial-reporting|[R8]]]. |
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| <WRAP tablewidth 100%> | <WRAP tablewidth 100%> |
| > **Note:** The sources associated with each jurisdiction are: | > **Note:** The sources associated with each jurisdiction are: |
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| * United States (FDTA) [R1, R2] | * United States (FDTA) [[dido:99_annexes:annex-c-references:r1-financial-data-transparency-act-2022|[R1]]], [[dido:99_annexes:annex-c-references:r2a-fdta-joint-data-standards-final-rule|[R2a]]] |
| * European Union [R3, R4] | * European Union [[dido:99_annexes:annex-c-references:r3-eu-corporate-sustainability-reporting-directive|[R3]]], [[dido:99_annexes:annex-c-references:r4-european-single-electronic-format|[R4]]] |
| * United Kingdom [R5] | * United Kingdom [[dido:99_annexes:annex-c-references:r5-making-tax-digital|[R5]]] |
| * Australia [R6, R7] | * Australia [[dido:99_annexes:annex-c-references:r6-asic-digital-reporting-and-data-standards|[R6]]], [[dido:99_annexes:annex-c-references:r7-apra-data-collection-and-reporting-modernisation|[R7]]] |
| * Global / IFRS [R8, R9] | * Global / IFRS [[dido:99_annexes:annex-c-references:r8-ifrs-taxonomy-and-digital-financial-reporting|[R8]]], [[dido:99_annexes:annex-c-references:r9-xbrl-specifications-and-regulatory-use|[R9]]] |
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| > **Note:** The table presents an illustrative FDIS-RA assessment rather than a legal or conformance determination. The phrase **explicit semantic governance** refers to governance of how operational systems interpret, validate, compare, and evolve reported information. It does not refer merely to the existence of reporting taxonomies, schemas, tagging standards, or controlled vocabularies. | > **Note:** The table presents an illustrative FDIS-RA assessment rather than a legal or conformance determination. The phrase **explicit semantic governance** refers to governance of how operational systems interpret, validate, compare, and evolve reported information. It does not refer merely to the existence of reporting taxonomies, schemas, tagging standards, or controlled vocabularies. |
| The table highlights a recurring pattern across the examined regimes. Machine-readable and digitally submitted reporting has become increasingly common, but the cited sources provide less explicit architectural coordination for governing interpretation and analysis after systems receive the information. | The table highlights a recurring pattern across the examined regimes. Machine-readable and digitally submitted reporting has become increasingly common, but the cited sources provide less explicit architectural coordination for governing interpretation and analysis after systems receive the information. |
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| Standardisation initiatives frequently concentrate on how reporting entities structure, tag, record, and submit information. These mechanisms provide essential syntactic, structural, and exchange discipline. They do not, by themselves, define how downstream systems interpret, validate, compare, and analyse reported information under governed and versioned semantic contexts. | Standardization initiatives frequently concentrate on how reporting entities structure, tag, record, and submit information. These mechanisms provide essential syntactic, structural, and exchange discipline. They do not, by themselves, define how downstream systems interpret, validate, compare, and analyze reported information under governed and versioned semantic contexts. |
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| Operational systems often derive semantic interpretation from combinations of taxonomies, regulatory definitions, implementation logic, guidance documents, analytical procedures, and agency-specific practices. When architectures do not make these dependencies explicit, systems may embed definitions, contextual assumptions, classification rules, temporal scope, and calculation logic within software, configuration, or analytical workflows. | Operational systems often derive semantic interpretation from combinations of taxonomies, regulatory definitions, implementation logic, guidance documents, analytical procedures, and agency-specific practices. When architectures do not make these dependencies explicit, systems may embed definitions, contextual assumptions, classification rules, temporal scope, and calculation logic within software, configuration, or analytical workflows. |
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| Consequently, syntactic standardisation does not by itself demonstrate semantic consistency across organisations, reporting periods, or independently developed systems. Organisations need explicit architectural mechanisms to identify the definitions, versions, rules, parameters, authorities, and contextual assumptions that govern each interpretation. | Consequently, syntactic standardization does not by itself demonstrate semantic consistency across organizations, reporting periods, or independently developed systems. Organizations need explicit architectural mechanisms to identify the definitions, versions, rules, parameters, authorities, and contextual assumptions that govern each interpretation. |
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| FDIS-RA addresses this gap by providing a system-level architectural framework for interpretation. It does not introduce new reporting formats or replace existing taxonomies, schemas, standards, or submission mechanisms. Instead, it makes the interpretation and analysis of regulated data explicit, traceable, versioned, and governable across jurisdictions, agencies, systems, and implementations while remaining compatible with existing reporting and representation standards. | FDIS-RA addresses this gap by providing a system-level architectural framework for interpretation. It does not introduce new reporting formats or replace existing taxonomies, schemas, standards, or submission mechanisms. Instead, it makes the interpretation and analysis of regulated data explicit, traceable, versioned, and governable across jurisdictions, agencies, systems, and implementations while remaining compatible with existing reporting and representation standards. |