Wikidata:WikiProject Data Quality

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Wikiproject on data quality (Q1757694) in Wikidata.

Picture taken at the Workshop on Data Quality Management in Wikidata (Q59426297) at Wikimedia Deutschland.


Ensuring data quality is of utmost importance, as the goal of Wikidata is to “give more people more access to knowledge” and therefore, the data needs to fit the needs of the data consumers. The Wikidata community has already developed methods and tools that monitor relative completeness (e.g., Recoin gadget), encourage link validation and correction (e.g. Mix’N’Match) and help editors observe recent changes and identify vandalism. Moreover, the community started global discussions about relevant dimensions of data quality in a recent RFC that used a survey of Linked Data Quality methods as the debate’s starting point to better describe and categorize quality issues and add more quality aspects/dimensions, with the goal of developing a data quality framework for Wikidata (RfC:DataQualityFramework).

Motivated by this, on January 18, 2019, we organized a workshop on "Data Quality Management in Wikidata" which took place at Wikimedia Germany.

In this workshop, we discussed existing challenges of data quality in Wikidata and derived possible solutions for data quality monitoring and data quality assurance in the context of Wikidata.



People where an alias is equal to the label[edit]

The following query uses these:

  • Properties: instance of (P31)  View with Reasonator View with SQID
    1 SELECT ?item ?label WHERE{
    2   ?item wdt:P31 wd:Q5 .
    3   ?item rdfs:label ?label FILTER(lang(?label) = 'en') .
    4   ?item skos:altLabel ?alias FILTER (LANG (?alias) = 'en')
    5   FILTER(?label = ?alias)
    6 } LIMIT 100

Labels containing Markup[edit]

The following query uses these:

  • Properties: instance of (P31)  View with Reasonator View with SQID
     1 #Labels containing markup tags
     3 SELECT DISTINCT ?item ?label
     4 WHERE
     5 {
     6   ?item wdt:P31 wd:Q13442814;
     7         rdfs:label ?label.
     8   FILTER CONTAINS(?label, "</").
     9 }
    10 LIMIT 100

Titles containing HTML escape sequences[edit]

The following query uses these:

  • Properties: instance of (P31)  View with Reasonator View with SQID, title (P1476)  View with Reasonator View with SQID
    1 SELECT ?item ?title
    2 WHERE
    3 {
    4   ?item wdt:P31 wd:Q13442814;
    5         wdt:P1476 ?title .
    6   FILTER CONTAINS(?title, "&amp").
    7 }
    8 LIMIT 100

PubMed article titles[edit]

PubMed uses brackets to indicate that the original title is translated to English

The following query uses these:

  • Properties: instance of (P31)  View with Reasonator View with SQID, PubMed ID (P698)  View with Reasonator View with SQID
    1 SELECT ?paper ?paperLabel ?pmid WHERE {
    2     ?paper wdt:P31 wd:Q13442814;
    3            wdt:P698 ?pmid;
    4            rdfs:label ?paperLabel
    5     FILTER(lang(?paperLabel)="en")
    6     FILTER(STRSTARTS(?paperLabel, "[")).
    7     FILTER(STRENDS(?paperLabel, "]")).
    8 } LIMIT 100 explains the brackets, and that titles may include other non-title words:

  • Non-EN title that is not yet translated will be just: [In Process Citation]
  • Explanatory information is enclosed in parentheses, eg: (author's transl)
  • Corporate/collective authors may appear at the end, eg: GISU. Interdisciplinary Group for the Study of Ulcer.
  • OLDMEDLINE subset (<CitationSubset> = OM) may have: Not Available <VernacularTitle> hold the original, untranslated title.



See Scholia on data quality for publications. Please add missing publications to Wikidata as publication items and add main subject (P921): data quality (Q1757694) for the items to be included in this list.


Errors in people[edit]

Related projects[edit]



[+ Add yourself to the list]

The participants listed below can be notified using the following template in discussions:

{{Ping project|Data Quality}}

See also[edit]

  • Wikidata:WikiProject Virtual Twins — can be seen as a data quality project, since a pair of twins is mostly due to random and to the biases that exist in Wikidata coverage