Data definitions and collection conditions
Describe structure, units, sampling intervals and uses of sensor, equipment or business data.
AI & data
IDQ is an industrial data quality scheme jointly developed by WISESTONE and the Korea Industry Intelligentization Association. It is distinct from other data certification programs.
Source record updated:
Discuss your certification →Industrial data quality certification
This voluntary scheme supports confidence in industrial data quality and use. It is not a blanket legal permit for manufacturing or equipment data.
Korean certification schemes and international standards are different. A translated guide does not extend a Korean certificate to other countries. Confirm the target market, product classification and current requirements with the relevant body.
Describe structure, units, sampling intervals and uses of sensor, equipment or business data.
Define missing-value, duplication and valid-range rules and identify the assessed version.
Retain preprocessing, transformation and error correction evidence to trace results.
Describe the industry and data characteristics and confirm criteria and delivery format.
Align definitions, collection and processing records with the tested dataset.
Confirm the review decision and the permitted scope of issued documentation.
Timing depends on data format, volume, testing scope and the body's review schedule.
Quotation based on the agreed scope
Confirm scope, assessor days, retesting, travel and VAT in the final quotation. Institutional fees are separate from Specify subscription charges.
Sources and references ↗Document automation and management cost KRW 300,000 per month. Expert services and certification body testing or assessment fees are separate. Specify supports preparation; the relevant authority or certification body makes the final decision.
Pricing and certification costs →Expert review and consulting are optional, separately scoped services. Choose support for IDQ Industrial Data Quality Certification based on your team's readiness and the evidence or assessment preparation you need.
The guidance covers manufacturing, equipment, healthcare and public sector industrial data; confirm individual eligibility.
A test report and a certificate issued after conformity review have different roles and claims.
Prepare dataset specifications and quality management and test evidence, then confirm forms for your data and application type.