Engineering data pipelines
Acquisition, conditioning, and governance of high-volume engineering data across instrumented assets and operations.
Published on 10 October 2026, this issue of the Journal of Engineering Informatics and Data Systems (JEIDS) brings together 3 double-blind peer-reviewed articles.
JEIDS · Open-access · Peer-reviewed · Published monthly
JEIDS publishes scholarship at the intersection of engineering science, information systems, and computational analytics, with rigorous double-blind peer review and a methods-and-systems editorial process designed to give authors candid, timely decisions.
Typical editorial timelines; actual times vary with submission volume and reviewer availability.
Acquisition, conditioning, and governance of high-volume engineering data across instrumented assets and operations.
Model-based representations, sensor fusion, and feedback loops that close the gap between physical assets and decision software.
Data-driven decision systems, predictive maintenance, and the operational integration of analytics into engineered workflows.
Methodological work on data architectures, schemas, and engineering-grade machine learning practice.
ISSN (Online): pending · CC BY 4.0 · OAI-PMH enabled · Editorial contact: [email protected]
Journal of Engineering Informatics and Data Systems. A peer-reviewed, open-access journal published by International Journal Press, India. MSME registered (Ministry of MSME, Government of India) — registration number UDYAM-UP-50-0078080.
ISSN: pending (Online)