This document discusses how Wikidata can leverage its data to support diversity across languages, cultures, and interests. Wikidata stores semantic data with multilingual support. It had early success through its links to Wikipedia articles, but this means statements are often only available in languages with Wikipedia coverage. There are opportunities to improve coverage of labels, links, and statements for items in different languages. Users can help by identifying missing information in their languages and contributing translations. Visualizations can help people understand and engage with the data. Overall the focus should be on addressing gaps in knowledge and increasing informative, high-quality content across subjects and languages.

1. Diversity and Wikidata
Leveraging data as information
for all languages, cultures and interests

2. Wikidata
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Stores semantic data with multi-language support
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Had a flying start by servicing the interwiki process
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The link to WP allows bots to enrich WD
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There are pros and cons for this approach
Most statements are derived from WP, any WP
Terminology:
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Item
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Label
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Link

3. Issues
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Links without labels
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Items not referring to “your” language (no labels)
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WP articles are not what they seem; lists for instance
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No statements for an item
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Statements with no label in “your” languages
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However, these issues are better than not having
data to work with

4. Using WD for search
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WD needs to support the “fat head” of search in
each language
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Not only for WD but also WP and Commons
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We do not know what people look for
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We do not know what labels WD does not serve

5. User participation
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Build upon the data that we have
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Indicate what is missing in “their” language
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Allow people to translate for the languages they
know
Compile a “concept cloud” for each subject
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Ask help with missing labels
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Suggest their use in WP articles
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Suggest their use in WD
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Present a basic info-box

6. Specific subjects
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Consider the use of ontologies
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WP categories ARE an ontology in their own right
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Linking red links to the “concept cloud”
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Make use of global (ie WD) and external ontologies
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Make the “concept cloud” part of the watchlist
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Consider that another WP may be more advanced
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Labels may be lacking in “your” language

7. Some statistics
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Most items do not have statements
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Many items have links and no labels
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This affects precision, but not the trends
They cannot be found
Basic WD gender ratio is for all and no Wikipedias
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Please apply your research data !!
Learn how it affects ratios in other languages
PS What sex is an eunuch?

8. More statistics
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WMF statistics – not really relevant
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Magnus's and his existing query functionality
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Been adding sex info and it affects the numbers
We could do with statistics on failed searches
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So far it has no priority

9. Visualisation
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It helps people understand what the data is about
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It motivates to add labels and statements
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When served to “WD/WP readers” they get
structured data and it may motivate to write WP
articles

10. Your agenda
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Gender ratios are not that relevant; quality
information is.
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Make sure your category of subjects is full of statements
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Do the subjects you like best first
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Make sure that you enjoy yourself
Soccer, hockey, swimming, gymnastics
IGNORANCE is imho what we should concentrate
on
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Gapminder type data and visualisation is what we need

11. Questions ?
User:GerardM
UltimateGerardM.blogspot.com