Structured data for GLAM-Wiki/Reconcile
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People, places and other concepts in your data need to be 'matched' with their corresponding Wikidata items.
Reconciliation: matching people, places, keywords and other concepts with Wikidata
When you upload structured data to Wikimedia projects from an external dataset, at some point it will be necessary to 'translate' or reconcile your data items to their equivalents on Wikidata. Most frequently, reconciliation happens for the following types of data:
- People and organizations (or 'agents') – often creators of works (painters, sculptors, architects, photographers, authors, editors, publishers...)
- Place names – for instance names of municipalities or countries
- Keywords – terms and subjects with which collections are described
Not all people, places, keywords in your data will already have Wikidata equivalents. It is OK to create new items. Be thorough during the reconciliation, though. Creating many duplicate Wikidata items must be avoided, as these cause a lot of cleanup work for the Wikidata community!
How to reconcile data with Wikidata
Several tools and software environments are able to reconcile (external) data with corresponding Wikidata items. These tools are suitable for different circumstances. When you are preparing collections data for an upload to Wikidata and/or Wikimedia Commons, OpenRefine is probably the most powerful tool to use.
- OpenRefine and its Wikidata reconciliation feature
- Mix'n'match, an online tool for crowdsourced reconciliation (Manual)
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