Data · dataset · 2026
A Normative Interoperability Framework for Industrial Olfactory Governance Standardizing IoT Emission Data Across Smart Territories
Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.6084/m9.figshare.34029876.v1
<h2 dir="ltr"><i>Odour regulation is the most fragmented domain of environmental law, and environmental IoT is the least standardized domain of industrial instrumentation.
Description
Their intersection produces a governance failure that is rarely named as such: jurisdictions set odour limits at the receptor, yet cannot verify compliance with instruments whose data have no common descriptive structure, no declared uncertainty, and no portable provenance.
This article proposes a normative interoperability framework for industrial olfactory governance in smart territories. Its central normative claim is that interoperability is not a technical convenience but a condition of legal admissibility: a measurement that cannot be reconstructed as to its time, place, uncertainty, and provenance cannot support an enforceable finding, whether it favours the operator or the complainant.
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From this principle we derive six norms a common metadata profile, declared uncertainty for regulatory use, timing and provenance as auditable attributes, a shared complaint ontology, tiered data sharing that separates sensitive operational data from globally shareable environmental information, and conformance testing as a condition of recognition. We show how the framework reconciles the competing demands of territorial sovereignty and cross-border comparability, and argue that the standardization gap in odour instrumentation is not a barrier to regulation but its precondition.
The framework yields testable propositions for regulators, operators, and platform vendors.</i></h2><p></p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34029876.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 2 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34029876 | 6 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34029876 | 6 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:401101 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Air pollution modelling and control'] |
| concepts[field].anzsrc:field:401101 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Air pollution modelling and control'] |
| concepts[field].anzsrc:field:401106 | mapping · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Waste management, reduction, reuse and recycling'] |
| concepts[field].anzsrc:field:401106 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Waste management, reduction, reuse and recycling'] |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |