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Description
We’ve encountered an implementation issue in how ONIX List 81 code 10 (“Textual”) is being interpreted under the Accessibility Metadata Display Guide for Digital Publications 2.0.
Observed Behavior
In current practice, code 10 is often assigned automatically by aggregators or conversion pipelines—particularly when ONIX 2.x feeds are converted to ONIX 3.x. The code is intended as a simple descriptor of the primary content type (i.e., the title is primarily textual), but in the Display Guide’s interpretation, it is being treated as a positive accessibility claim.
This has led to downstream consequences for data consumers, including VitalSource. In our system, ONIX accessibility metadata takes precedence over EPUB schema.org metadata. When code 10 appears, it supplants valid EPUB accessibility information, resulting in suppression of accurate accessibility metadata and, in some cases, the appearance of an unintended accessibility conformance claim.
Real-World Impact
Because this assignment is happening automatically in ONIX aggregation and conversion processes, many publishers are unaware that they are inadvertently signaling accessibility conformance. The outcome is confusing both for metadata consumers and for end users who rely on accurate accessibility indicators.
Request
We’d like to propose a clarification or change in the specification to prevent List 81 code 10 from being interpreted as an accessibility claim when it is the only code present or when it is clearly serving as a content-type descriptor rather than an accessibility assertion.
This could take the form of:
• Explicit guidance in the Display Guide noting that code 10 alone should not be treated as an accessibility conformance statement, or
• An adjustment to the interpretation hierarchy so that “Textual” functions as a neutral descriptor rather than a claim.
Next Steps
We’re implementing a system-level enhancement to ignore code 10 when it is the only ONIX accessibility code received, but we believe a standards-level clarification would help prevent similar issues across the ecosystem—especially as ONIX 2.x–to–3.x conversions are widespread.
We’d be happy to share data examples and discuss how this interpretation could be refined to reduce unintentional conformance signaling while preserving the Guide’s intent.