Researcher or Crowd Member? Why not both! The Open Research Knowledge Graph for Applying and Communicating CrowdRE Research
In recent decades, there has been a major shift toward 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 transform the knowledge they contain. A 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) 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 from two perspectives: (1) as researchers for applying, and (2) as crowd members for communicating Crowd-based Requirements Engineering (CrowdRE) research. We conducted an artifact- and usage-based analysis of the ORKG to provide an overview of its features for involving its crowd members in the development. We also provide insights into the curation of qualitative and quantitative scholarly knowledge in the ORKG based on papers contained in two previously published systematic literature reviews (SLRs) on CrowdRE. For applying CrowdRE research, the ORKG readily offers features such as social and financial incentives, feedback elicitation channels, and support for context and usage monitoring. However, analyses are still performed manually and provide limited options. For communicating CrowdRE research, the papers we curated can be explored and compared interactively, and with more data than what the SLRs originally contained.