Data · dataset · 2026
Standardized Data Governance for Environmental IoT A Normative Protocol for Cross-Border Industrial Chemical Surveillance
Listed in ZivaHub and Deakin Research Online — shown once because both records carry DOI 10.6084/m9.figshare.34030035.v1
<h2 dir="ltr"><i>Industrial chemical pollution is transboundary by physics and territorial by law.
Description
A plume crosses a frontier in hours; the authority competent to act on it is bounded by that frontier; and the data that would substantiate action are governed by the jurisdiction in which they were produced. This article treats that mismatch as a governable design problem rather than an intractable political one, and proposes a normative protocol for cross-border industrial chemical surveillance.
Its governing principle is that interoperability obligations must attach to the datum rather than to the platform or the jurisdiction of its holder: what travels across a border must be an observation carrying its own legal and technical envelope origin jurisdiction, lawful basis of collection, permitted uses, retention terms, uncertainty, and provenance so that evidentiary force survives the crossing. From this principle we derive six norms forming a governance envelope, a mutual recognition mechanism based on conformance rather than on institutional trust, and a correspondence layer that makes heterogeneous national vocabularies comparable without requiring them to converge.
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We show why the prevailing alternative governing data at the platform level, or appealing to converging national standards cannot work, and we connect the protocol to documented evidence on data-localization effects, licensing friction, and low-cost reliability self-declaration. Four testable propositions and their boundary conditions are stated.</i></h2><p dir="ltr"><br></p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34030035.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, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34030035 | 9 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34030035 | 9 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 · dro deakin edu au | vocabulary-mapper@1.0.0 | keywords['Air pollution modelling and control'] |
| concepts[field].anzsrc:field:401101 | mapping · zivahub uct ac za | vocabulary-mapper@1.0.0 | keywords['Air pollution modelling and control'] |
| concepts[field].local:field:chemistry | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| 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 | |
| concepts[field].local:field:engineering | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | 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 |