Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The benefits of data standardization within the social sector—and indeed just about any industry—are multiple, important, and undeniable. Access to the same type of data over time lends the ability to ...

The evolution of high-throughput mass spectrometry (MS) has necessitated the development of robust proteomics data formats to manage the vast quantities of data generated during protein identification ...

Challenges with data quality and data governance have plagued healthcare analytics efforts for decades – and the stakes are only getting higher in the age of AI. Inaccurate or inconsistent data ...

In 2025, trade uncertainty isn’t the exception, it’s the operating environment. From tariffs to reshoring and shifting geopolitical pressures, small businesses that sell to overseas markets or import ...

NEW YORK, Jan. 15, 2026 /PRNewswire/ -- XBRL US, the nonprofit consortium dedicated to improving reporting through a free, open data standard, has joined the Center for Research toward Advancing ...

The seafood industry needs coordinated data collection and standardization to reduce the risk of illegal, unregulated and unrecorded seafood, explained Sara Bratager, food traceability and food safety ...

Unified namespace (UNS) architecture uses MQTT brokers and standardized data structures to enable real-time access across ...