Engineering data pipelines
Acquisition, conditioning, and governance of high-volume engineering data across instrumented assets and operations.
JEIDS · Open-access · Peer-reviewed · Published monthly
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.
Journal at a Glance
29th
Submission deadline (every month)
4-5 days
First editorial decision
7 days
Peer review
5 days
Submission to acceptance
15 days
Acceptance to publication
34%
Acceptance rate
Typical editorial timelines; actual times vary with submission volume and reviewer availability.
Scope
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]
