JEIDS · Open-access · Peer-reviewed · Published quarterly

Engineering data systems, digital infrastructure, and informatics for the intelligence age.

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.

Submit Manuscript → Author Guidelines

Scope

Engineering data pipelines

Acquisition, conditioning, and governance of high-volume engineering data across instrumented assets and operations.

Digital twins & cyber-physical systems

Model-based representations, sensor fusion, and feedback loops that close the gap between physical assets and decision software.

Intelligent operations

Data-driven decision systems, predictive maintenance, and the operational integration of analytics into engineered workflows.

Informatics methods

Methodological work on data architectures, schemas, and engineering-grade machine learning practice.

Why publish with JEIDS?

  • Double-blind peer review with transparent editorial checks and reasoned decisions.
  • Open access from day one under CC BY 4.0 — no paywalls, no embargo.
  • Methods-and-systems triage — fast, candid early decisions on fit and method.
  • Indexing-ready workflow — DOI, ORCID, and OAI-PMH from issue one.

ISSN (Online): pending · CC BY 4.0 · OAI-PMH enabled · Editorial contact: [email protected]