INDEX

Welcome to the human-readable and machine-readable knowledge graph for AASB 1060. This free open source resource enables software engineers to understand how to create supercharged software applications related to AASB 1060. It is based on a proven, good-practices, global standard I refer to as the Seattle Method.

This machine-readable information is based on: AASB 1060 and its related conceptual framework.

General Purpose Financial Statements - Simplified Disclosures for For-Profit and Not-for-Profit Tier 2 Entities (AASB 1060)

AASB 1060 Knowledge Graph

This XBRL-based machine-readable information essentially forms a knowledge graph. The AASB 1060 Knowledge Graph is a set of terms, structures, assocations, and rules that are used to build models and report facts per those models.

Referencing PDFs is a pain. Check out this prototype WIKI version of AASB 1060. Why can't accounting standards be a collaborative effort?

The following is a quick reference to information provided within this human-readable and machine-readable knowledge graph.

• XBRL Syntax Rules: (Human | Machine)
• Model Structure Rules: (Human | Machine)
• Fundamental Accounting Concept Rules: (Human | Machine)
• Disclosure Mechanics Rules: (Human | Machine)
• Reporting Checklist Rules: (Human | Machine)
• Type/Subtype Rules: (Human | Machine)
• Disclosures: (Human | Machine) The financial reporting scheme requires specific disclosures.
• Topics: (Human | Machine) Those disclosures can be organized within specific topics.
• Templates: (Human | Machine) Templates provide examples of those disclosures.
• Exemplars: (Human | Machine) Examples (exemplars) exist in the form of how other economic entities reported these same disclosures.
• Terms: (Human | Machine) Terms are used to represent disclosures in a machine-readable XBRL taxonomy.
• Structures: (Human | Machine) Reported disclosures are represented using XBRL networks, XBRL hypercubes, and logical blocks which form a model.
• Fundamental Concepts: (Human | Machine) High-level fundamental accounting concepts exist within the conceptual framework for AASB 1060
• Reporting Styles: (Human | Machine) Reporting styles are models of relations between fundamental accounting concepts that form an approach to creating a report.
• Consistency Rules: (Human | Machine) Consistency rules explain the relations between fundamental accounting concepts.
• Derivation Rules: (Human | Machine) When a fundamental accounting concept is not explicitly reported; derivation (a.k.a. impute) rules are used to use logical deduction to derive the value of the unreported high-level financial concept.
• Facts: (Human | Machine) Facts must be consistent with the permitted terms, structures, associations, and rules. When the statements and facts are consistent then the logical system is functioning properly (consistent, complete, precise).

Technical Basics

The following is important basic technical information that will help get software engineers started. For a good book see The XBRL Book: Simple, Precise, Techical.

• Machine-readable Knowledge Graph
• Base Taxonomy Download
• Base Taxonomy Schema (Terms)
• Base Taxonomy Term Labels
• Base Taxonomy Term Athoritative References
• Base Taxonomy Entry Point
• Reference Implementation of Report

Model Reports

• PWC
• Deloitte
• KPMG
• EY
• Pitcher Partners
• CaseWare
• Anglican Diocese of Melbourne Endowment Fund