Overview
ISO 8000-220:2025 - Data quality - Part 220: Sensor data: Quality measurement defines how to quantitatively measure the quality of sensor data. Part of the ISO 8000 series, this standard provides a set of quality measures that correspond to the data quality characteristics and data anomalies defined in ISO 8000-210. It focuses on digital sensor output (streams of discrete values) typically produced by sensor networks and IoT devices and sets out fundamental principles, measurement elements and requirements for applying those measures.
In scope: fundamental principles and assumptions; quality measures for sensor data (accuracy, completeness, consistency, precision, timeliness, etc.); requirements for using data quality characteristics and measures.
Out of scope: analogue/image/video/audio sensor captures, signal processing that creates digital data, and methods to measure or improve data quality.
Key technical topics and requirements
- Fundamental principles and assumptions for measuring sensor-data quality - establishing measurement functions and their elements that produce quantitative results.
- Quality measures mapped to characteristics and anomalies - measures are specified for characteristics such as accuracy, completeness, consistency, precision (representational and measurement), and timeliness, and for related anomalies (e.g., offset, drift, spike, noise).
- Measurement functions and elements - each quality measure is produced by a measurement function combining relevant elements (example: Accuracy = count of accurate values / count of all evaluated values).
- Implementation requirements - clause addressing how to apply and interpret measures within data lifecycles and systems (detailed procedures are in the standard).
- Scope limits - clarifies which data types and processes are not covered to avoid misapplication.
Practical applications and target users
ISO 8000-220 is designed for organizations that collect, process or rely on sensor data, including:
- Smart manufacturing and Industry 4.0 deployments
- IoT platform and sensor network operators
- Healthcare monitoring systems and social infrastructure
- Data engineers, data quality managers, system integrators, and compliance officers
Practical uses:
- Establishing objective, repeatable metrics to monitor sensor data quality before analytics or automated decision systems
- Detecting and quantifying anomalies (drift, spikes, noise) to prioritize cleansing or filtering steps
- Defining SLAs and data contracts that include measurable sensor-data quality criteria
- Supporting audits, traceability and interoperability in multi-vendor sensor ecosystems
Related standards
- ISO 8000-210 - Sensor data: Data quality characteristics (defines the characteristics this part measures)
- ISO 8000-2 - Vocabulary for the ISO 8000 series
- ISO/IEC 30141 - Reference architecture for IoT (context for sensor networks)
- Other parts of the ISO 8000 series covering governance, measurement approaches and data exchange
Keywords: ISO 8000-220:2025, data quality, sensor data, quality measurement, sensor networks, IoT, quality measures, accuracy, timeliness, precision, data anomalies.
