Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Many common data models (CDMs) and standard vocabularies have appeared in an attempt to offer harmonized access to the available information, with Observational Medical Outcomes Partnership (OMOP)-CDM ...

Neuenfeldt: We’re working with data standards like CIM (Common Information Model) 61 970, 301 for normalization and alignment, and the emerging 61 850 standard for smart grids. The goal is to ...

The XDR Alliance released an open source Common Information Model, aiming to build the foundation for the next-generation XDR.

Methods After sites implemented cancer registry data into a tumor table compatible with the PCORnet Common Data Model (CDM), distributed queries were performed to assess quality issues. After ...

RAO UES, the largest energy company in the world, has committed to replacing its central and regional energy management systems with modern state-of-the-art systems.