# Data Infrastructure **Domain:** Information Technology, Data Science, Systems Engineering **Doc Type:** Concept Node **Classification:** Infrastructure Concept **Maturity:** Foundational **Related:** [[Data Platforms]], [[Data Stack]], [[Digital Administrative Infrastructure]], [[Computational Architecture]] --- ## Definition The **foundational technological systems—networks, storage, processing capacity, and protocols—required to collect, store, transmit, and access data at scale**. Data infrastructure includes sensors, networks, servers, and the organizational systems that manage data flow. --- ## General Context Data infrastructure has become a critical public good, analogous to electricity or transportation infrastructure. It determines what kinds of data collection are feasible, who can access collected data, and what latency or reliability constraints apply. --- ## Governance Context Public environmental data infrastructure transitioned to private cloud providers. See [[articles/climate-justice-meritocracy|How Reparative Justice Became Meritocracy, and Public Weather Data Became Private Risk Scores]] on the $39B NOAA → $2T private infrastructure shift. --- ## Planetary Sensing Context Real-time environmental monitoring requires robust data infrastructure capable of ingesting high-frequency sensor data, processing it through models, and distributing results to decision-makers. --- ## Financial Systems Context Financial markets depend on data infrastructure for information dissemination. Access to data infrastructure determines information advantages in financial competition. --- ## Key Insight Data infrastructure is increasingly privatized. Public weather data collection was outsourced to private cloud providers, creating proprietary access to information that affects risk pricing and resource allocation. --- ## See Also [[Distributed Data Architectures]], [[Sensing]], [[Governance]]