Reporting, Disclosure & Frameworks
iXBRL
iXBRL is inline extensible business reporting language, a digital reporting format that embeds structured machine-readable tags within human-readable report content.
Expert review openNo editor-accepted expert review yetDefinition
iXBRL is inline extensible business reporting language, a digital reporting format that embeds structured machine-readable tags within human-readable report content.
Overview
What it means in practice
iXBRL should be used with care because reporting terms often connect technical definitions to governance, assurance and public communication. The practical question is what decision the term helps a reader make.
In practice, users should state the boundary, method, evidence and intended audience. That keeps ixbrl from becoming a loose label that hides important assumptions.
Why it matters
iXBRL sits in reporting and disclosure language, where the same phrase can affect scope, assurance, investor interpretation and regulatory presentation.
Common misconception
A common error is to treat iXBRL as self-explanatory. The stronger approach is to state the framework, reporting boundary, audience and evidence that give the term meaning.
Review questions
What framework or method is being used? What evidence supports the term? What would a reader reasonably assume if the boundary is not stated?
Review
Public comments appear only after editor acceptance. Draft comments stay in the review queue.
Reviewers choose the definition or an overview paragraph, leave a comment or replacement, and attach evidence or a source link.
Editors compare reviewer cards side by side. AI may help find agreement, conflicts, unsupported claims and possible source issues.
Only an editor-accepted synthesis changes the public page. Reviewer identities are shown only with consent and verification.
Submitted reviews stay private until accepted.
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Review board
Comment on a specific line. Each reviewer stays separate until an editor accepts a merged draft.
Each person comments on the definition or overview in their own draft card, with role, evidence and suggested wording kept together.
AI can compare comments against the current text, flag conflicting claims, surface missing evidence and identify where reviewers agree.
An editor merges compatible suggestions into a draft change, checks sources, records disagreements and decides what can be published.