User:LydiaPintscher/DataQualityDraft

Welcome to the WikiProject Data Quality!

Data from Wikidata is used all around the world, and we care that it is high quality. This project serves to provide a platform for Wiki communities to contribute to data quality on Wikidata.

What is data quality?

Data quality has many aspects. Specifically to Wikidata, there are four dimensions to data quality each with their own aspects: intrinsic, contextual, representational, and accessibility. Find out more about each of these dimensions and their aspects in the data quality framework for Wikidata.

How you can help

We would love to have your support in increasing and maintaining data quality on Wikidata. Here are some ways you can contribute:

1. Use one of the tools in the tools section to improve data quality in Wikidata.
2. Remove issues from the reports on the data quality issue reports page.

Participants

[create] Create the participants list page and add yourself

Tools

• Query Service and Query Builder - query the data
• Item Quality Evaluator - evaluate the quality of a group of Items
• Constraint checks - define constraints for Properties and find violations of these constraints
• Entity Schemas - define schemas for specific classes of Items and find violations of these schemas
• InteGraality - create a completeness dashboard
• Listeria - create lists from SPARQL queries on-wiki
• ReCoin - find what’s missing on an Item and see its completeness
• Constrain Violation Checker - evaluate the constraints violations on a group of Items
• ProWD - find imbalance within a group of Items
• Cool-WD - check the completeness of a group of Items
• ORES - get automated quality evaluations for Items
• Duplicate finder - find duplicate Items based on identical identifiers
• Duplicity- Wikipedia articles without associated Items

Further resources

• Related wiki projects:
  • Counter-Vandalism
  • Ontology
  • Duplicates
  • Virtual Twins
• Data quality issue reports
• Scientific publications about data quality