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national data infrastructure

3 articles · Page 1 of 1
Frontline Investigation
Frontline Investigation
Sep 15, 2026 · Industry Insights

Why Shared Data Doesn't Lead to Collaboration: The Missing Context Problem

The article explains that cross-department data sharing often fails to enable true collaboration because data loses its original context—purpose, applicability, responsibility, and feedback loops—when transferred via interfaces. It proposes a 'collaboration object' framework with four layers (source, purpose, responsibility, feedback) to turn data into actionable shared assets, referencing China's national data infrastructure guidelines.

Judgment Boundariescollaboration objectcross-department collaboration
0 likes · 11 min read
Why Shared Data Doesn't Lead to Collaboration: The Missing Context Problem
Frontline Investigation
Frontline Investigation
Sep 7, 2026 · Big Data

Why More Data Interfaces Make Quality Issues Harder to Trace

As data interfaces proliferate, quality issues shift from simple errors to semantic drift across systems; this article analyzes meaning, time, and responsibility drift, proposes a four-question lineage framework, and advocates lightweight change records to maintain trust in evolving data ecosystems.

Data QualityGB/T 34960change management
0 likes · 12 min read
Why More Data Interfaces Make Quality Issues Harder to Trace
Data Thinking Notes
Data Thinking Notes
Jan 16, 2025 · Big Data

China’s New National Data Infrastructure Blueprint: Shaping the Digital Future

Released by the NDRC, National Data Bureau and MIIT, the 'National Data Infrastructure Construction Guideline' outlines the concept, vision, functions, and architecture of a nationwide data infrastructure, detailing four key pillars—data flow, computing, network support, and security—and sets phased development goals through 2029.

blockchaindata securitynational data infrastructure
0 likes · 24 min read
China’s New National Data Infrastructure Blueprint: Shaping the Digital Future