  Wikidata is an open knowledge graph created, managed, and maintained
collaboratively by a global community of volunteers. As it continues to grow,
it faces substantial editor engagement challenges, including acquiring new
editors to tackle an increasing workload and retaining existing editors.
Experiences from other online communities and peer-production systems,
including Wikipedia, suggest that recommending tasks to editors could help with
both. Our aim with this paper is to elicit the user requirements for a Wikidata
recommendations system. We conduct a mixed-methods study with a thematic
analysis of in-depth interviews with 31 Wikidata editors and three Wikimedia
managers, complemented by a quantitative analysis of edit records of 3,740
Wikidata editors. The insights gained from the study help us outline design
requirements for the Wikidata recommender system. We conclude with a discussion
of the implications of this work and directions for future work.
