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Good practice Imported

Korea's National Open Data Portal Data-Quality Diagnostic Score

South Korea · Sejong · See the South Korea profile · See the Sejong profile

Evidence: Descriptive / self-reported Top 51% 60/100 · Ask Evidence Copilot about this practice

Before agencies publish a dataset on Korea's Open Data Portal, a diagnostic service scores it on five criteria — understandability, processing ease, linkability, compliance, importance — inside NIA's quality system, on a portal listing 87,000 datasets and 11,000 open APIs.

87,000 datasets
Datasets listed on the portal (most recent published figures)
11,000 APIs
Open APIs listed on the portal (most recent published figures)
61 million calls
Estimated cumulative API calls (most recent published figures)
Korea's National Open Data Portal Data-Quality Diagnostic Score

Details

Maturity
Established
Promoter
National Information Society Agency (NIA), Ministry of the Interior and Safety
Period
ongoing (portal since 2013)
Keywords
open data, data governance, quality management, public administration

Context

South Korea's National Open Data Portal (data.go.kr), established in 2013 and run by the National Information Society Agency (NIA) under the Ministry of the Interior and Safety, is the country's one-stop hub for public data, listing about 87,000 datasets and 11,000 open APIs used in an estimated 61 million API calls.

Activities

Before an agency uploads a dataset, a diagnostic service assigns it a usability score across five criteria — understandability, ease of processing, linkability, compliance and importance — sitting inside NIA's wider public-data quality-management framework, which also runs a periodic quality-level assessment across participating institutions and publishes a formal quality-management manual.

Results

Neither NIA's official quality-management page nor the interview describing the five criteria publishes a quantified before/after change in dataset quality attributable to the diagnostic score specifically; its documented effect is procedural (a mandatory pre-publication checkpoint across a very large, long-running portal) rather than a measured quality improvement.

Implementation
Indicative cost
Low (< €50k)
Time to results
Long (> 3 years)
Staffing & skills
National Information Society Agency (NIA), under the Ministry of the Interior and Safety, operates the portal and diagnostic service

Conditions for success

  • Diagnostic sits inside NIA's wider public-data quality-management framework, which also runs periodic quality-level assessments across participating institutions and a published quality-management manual
  • Score is generated before an agency is allowed to publish a dataset, making it a mandatory pre-publication checkpoint

Common failure modes

  • No quantified before/after change in dataset quality attributable to the diagnostic score specifically has been published; its documented effect is procedural rather than a measured quality improvement

Where it fits

Governance type
national government agency
Scale
national
Income level
high-income

Commonly funded by

National / regional programmes

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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