Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

Current science communication has a number of drawbacks and bottlenecks which\nhave been subject of discussion lately: Among others, the rising number of\npublished articles makes it nearly impossible to get a full overview of the\nstate of the art in a certain field, or reproducibility is hampered by\nfixed-length, document-based publications which normally cannot cover all\ndetails of a research work. Recently, several initiatives have proposed\nknowledge graphs (KG) for organising scientific information as a solution to\nmany of the current issues. The focus of these proposals is, however, usually\nrestricted to very specific use cases. In this paper, we aim to transcend this\nlimited perspective and present a comprehensive analysis of requirements for an\nOpen Research Knowledge Graph (ORKG) by (a) collecting and reviewing daily core\ntasks of a scientist, (b) establishing their consequential requirements for a\nKG-based system, (c) identifying overlaps and specificities, and their coverage\nin current solutions. As a result, we map necessary and desirable requirements\nfor successful KG-based science communication, derive implications, and outline\npossible solutions.\n