Wikidata:Data round-tripping

See also: Wikidata:WikiProject Data round-tripping

Data round-tripping consists in the reciprocal synchronisation of data between and other platforms with which its content is interconnected.

An effective process of data round-tripping would improve significantly the quality of both Wikidata and those platforms and could be a good base for establishing deeper collaborations between the Wikidata users most engaged on data quality and the communities or operators of those platforms.

History

The coordination on this topic on Wikidata started with the early version of this page in July 2022. At the time the concept was primarly referring to the interconnection of Wikidata with the external databases to which it links, with main focus on the correction of errors found by Wikidata users in external databases.

It was influenced by the concept of data round-tripping between users on Wikimedia Commons and GLAM institutions.

Later the term expanded its meaning in various phases:

• In February 2024 the Error reporting procedures page was created, thus standardizing the census of active users interested in coordination with external databases.
• In 2025, the role of the Wikibase ecosystem was explored, namely for the work of the DARIAH-DHWiki Working Group and the WikiCite 2025 conference. Wikibase platforms, often created by active Wikidata users, were also potentially integrated into this vision. It was ackowledged how federated queries can be used to analyze inconsistencies between Wikibase instances, including Wikidata. Data round-tripping within the Wikibase ecosystem is not fully "external" compared to third-party databases, due to a large overlap of communities between Wikidata and other Wikibase instances.
• The inclusion of Wikibase instances in the long-term vision sparked a broader discussion about the role of data round-tripping within Wikimedia communities (since Wikibase users are evolving in some enlarged and expert Wikidata community). This process entails the rationalization of existing and overlapping initiatives addressing data discrepancies across Wikimedia projects that share overlapping active users. Far from complete, this aspect has already provided anecdotal evidence (see this section)
• All this process led in October 2025 to another reshaping of the help pages, and the creation of a dedicated WikiProject.

Related pages

• Wikidata:WikiProject Data round-tripping
• Wikidata:Mismatch Finder
• Wikidata:Events/Data Quality Days 2022/Conversation1
• Wikidata:WikiProject Data Quality
• Wikimedia Commons Data Roundtripping on Meta-Wiki
• Wikidata:WikiProject Authority control/Error reporting procedures

External links

Best practises, bibliography etc. (to be expanded)

• Sandra Fauconnier, Data Roundtripping: a new frontier for GLAM-Wiki collaborations, 13 December 2019.
• JJ Dearborn and Siobhan Leachman, BHL is Round Tripping Persistent Identifiers with the Wikidata Query Service, 15 February 2023.
• Lucy Schrader, Agreeing to agree: Roundtripping people identifiers with Wikidata, 5 December 2023.
• Riya Sinha, Amelia Acker and Hanlin Li, Data Work in Memory Institutions: Why and How Information Professionals Use Wikidata, Proceedings of the ACM on Human-Computer Interaction, Volume 9, Issue 7, Article No.: CSCW394, Pages 1-27, 16 October 2025 [chapter 6.3 focuces on data-roundtripping]

Dedicated events

• 2025-02-27 Data Reuse Days 2025: Epìdosis, Data round-tripping with authority files (slides, video)
• 2025-08-28 WikiCite 2025: Epìdosis and Alexmar983, Data round-tripping for "Swiss WikiCite" (slides)
• 2025-08-30 WikiCite 2025: debate on the topic of data round-tripping; proposal of a new collaboration with a stakeholder; the need of a dedicated WikiProject also emerged.