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[Background.] Empirical research in requirements engineering (RE) is aconstantly evolving topic, with a growing number of publications. Severalpapers address this topic using literature reviews to provide a snapshot of its"current" state and evolution. However, these papers have never built on orupdated earlier ones, resulting in overlap and redundancy. The underlyingproblem is the unavailability of data from earlier works. Researchers needtechnical infrastructures to conduct sustainable literature reviews. [Aims.] Weexamine the use of the Open Research Knowledge Graph (ORKG) as such aninfrastructure to build and publish an initial Knowledge Graph of Empiricalresearch in RE (KG-EmpiRE) whose data is openly available. Our long-term goalis to continuously maintain KG-EmpiRE with the research community to synthesizea comprehensive, up-to-date, and long-term available overview of the state andevolution of empirical research in RE. [Method.] We conduct a literature reviewusing the ORKG to build and publish KG-EmpiRE which we evaluate againstcompetency questions derived from a published vision of empirical research insoftware (requirements) engineering for 2020 - 2025. [Results.] From 570 papersof the IEEE International Requirements Engineering Conference (2000 - 2022), weextract and analyze data on the reported empirical research and answer 16 outof 77 competency questions. These answers show a positive development towardsthe vision, but also the need for future improvements. [Conclusions.] The ORKGis a ready-to-use and advanced infrastructure to organize data from literaturereviews as knowledge graphs. The resulting knowledge graphs make the dataopenly available and maintainable by research communities, enabling sustainableliterature reviews.

Divide and Conquer the EmpiRE: A Community-Maintainable Knowledge Graph of Empirical Research in Requirements Engineering