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  • Guide
    • Introduction Target Audience Credits
    • Why Open Data?
    • What is Open Data?
    • How to Open Up Data
    • So I've Opened Up Some Data, Now What?
    • Make data social
    • Appendices
    • Glossary
  • Value Stories
  • Resources
  • Solutions
    • Problems (Re)use federated tools Assess holistic metrics Categorise openness of data Cross Agency strategy Develop an Open Data Publication Plan Develop dataset criteria Enable feedback channels for improving data quality Enable quality assessment of open data Encourage crowdsourcing around PSI Establish Open Government Portal Establish an Open Data Ecosystem Identify what you already publish Influx of Housing Price Increases International Aid & Transparency Open Data Business Models Open Up Public Transport Data Provide PSI at zero charge Publish Statistical Data In Linked Data Format Publish overview of managed data Ride-sharing and Public Transit Standards for Geospatial Data Tracking Modern Warfare Unveiling Incarceration Rates
    • Themes International Conflict Transport Civil Conflict Gentrification Health International Aid Modern Warfare Prison Policy Share PSI Transport
    • Tags Civil Conflict Crime Development Drones E-Government Foreign Affairs Housing Prices Human Rights Incarceration Rates Internal Displacement International Conflict International Security Metro Share PSI Transparency corruption development e-government foreign policy metro public transit ride-sharing Gentrification International Aid Modern Warfare Prison Policy Taxi Transparency insurance international aid transparency
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glossary

Many eyes principle

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If something is visible to many people then, collectively, they are more likely to find errors in it. Publishing open data can therefore be a way to improve its accuracy and data quality, especially where a good interface for reporting errors is provided. See crowdsourcing.

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