{
  "annotation_id": "60c4f148-8f41-4884-9967-5b73f56701f6",
  "date_created": "2026-02-17T05:53:24.158000Z",
  "date_modified": "2026-02-17T05:53:24.158000Z",
  "file_hash": "a30f7c2fa10ba0fd888d13fdf5de7184200eed6494e4b9a17eb00a8dc55b43fe",
  "private": false,
  "record": {
    "abstract": "Industrial IoT platforms in global manufacturing environments generate continuous operational data across production assets, utilities, and connected products. While data ingestion and storage capabilities have matured significantly, enterprises continue to face systemic challenges in governing IoT data at scale. These challenges are not rooted in tooling limitations but in the absence of a governance model that aligns with the realities of distributed operational ownership, heterogeneous source systems, and continuous change at the edge. This paper presents a federated governance model that emphasizes contract-driven interoperability, policy-as-code enforcement, and asset-centric accountability across global manufacturing organizations. The model addresses governance enforcement at architectural boundaries, enabling semantic consistency, quality assurance, and regulatory compliance without requiring centralized control of operational technology systems. This work contributes a systems architecture and design framework grounded in analysis of manufacturing IoT requirements and constraints; empirical validation remains future work",
    "arxiv_id": "2601.09744",
    "authors": [
      "Vignesh Alagappan"
    ],
    "categories": [
      "cs.SE"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "title": "A Governance Model for IoT Data in Global Manufacturing",
    "url": "https://arxiv.org/abs/2601.09744",
    "version": "v1"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "2a7e3201-43e8-4b6c-bcaf-2c1c67bd81f3",
    "id": "arXiv Dataset",
    "type": "Model",
    "variant": "snapshot-2026-01-17",
    "version": "0.1.0"
  },
  "user_id": 1000002
}