Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research
Oliver Karras, Eduard C. Groen, Javed Ali Khan, S\"oren Auer

TL;DR
This paper explores how the Open Research Knowledge Graph (ORKG) facilitates scholarly knowledge communication and crowdsourced knowledge curation, applying CrowdRE techniques to involve researchers and improve academic information sharing.
Contribution
It demonstrates the application of CrowdRE principles in the ORKG for engaging scholars and enhancing scholarly communication about CrowdRE research.
Findings
ORKG provides incentives and feedback channels for CrowdRE involvement.
It improves access to and communication of CrowdRE scholarly knowledge.
Potential for automation and holistic CrowdRE integration in ORKG.
Abstract
In recent decades, there has been a major shift towards improved digital access to scholarly works. However, even now that these works are available in digital form, they remain document-based, making it difficult to communicate the knowledge they contain. The next logical step is to extend these works with more flexible, fine-grained, semantic, and context-sensitive representations of scholarly knowledge. The Open Research Knowledge Graph (ORKG) is a platform that structures and interlinks scholarly knowledge, relying on crowdsourced contributions from researchers (as a crowd) to acquire, curate, publish, and process this knowledge. In this experience report, we consider the ORKG in the context of Crowd-based Requirements Engineering (CrowdRE) from two perspectives: (1) As CrowdRE researchers, we investigate how the ORKG practically applies CrowdRE techniques to involve scholars in its…
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