Over the past decade, our community has made great progress in opening up diverse data about global research enterprise. It’s time to start merging all this work together, creating a unified, comprehensive, dynamic, and open map of research. In this talk, we’ll discuss our effort to do just this. We’ve normalized and merged real-time data for: citations (Microsoft Academic graph, Crossref, OpenCitations, PubMed); people (ORCID); institutions (GRID, ROR); papers (Crossref); data (DataCite); full-text locations (Unpaywall, DOAJ); named entities (Wikidata, DBpedia); alternative metrics (Paperbuzz); and funders (Crossref). In doing so, we've created a free, fast, open API that lets users answer complicated, multi-step queries at scale. During this talk, we'll discuss the current and future uses for this API, including tools to monitor Open Access, power scholarly search, inform library subscription negotiations, assess grant performance, and more. We’ll also discuss sustainability and community for the tool, and its relationship with traditional, closed data systems like Scopus or Web of Science.
