Time zone: EDT Location: Virtual
Presenters: Kyle Demes & Jason Portenoy
Large databases that index research outputs and associated metadata (scientific knowledge graphs or SKGs) have become critical infrastructure for any research organization. They help researchers find the right papers among millions; they enable scientometrics research; and they provide intelligence to inform decisions at almost every level of research management. However, the leading established SKGs require expensive subscriptions to access and have systematic biases that constrain who has access to these tools and what insights they can provide. That’s why, within less than 2 years of launching, OpenAlex is already seen by bibliometric experts as a foundational tool for high-quality research analytics. In this webinar, we will introduce OpenAlex, the first completely open and comprehensive SKG. Specifically, we will: cover how the open model works for SKGs; highlight major features of OpenAlex specifically in comparison to closed SKGs; review methods for accessing the data; and explore foundations of OpenAlex’s data structure and the use cases it enables. Participants will leave with the foundational knowledge to get started using OpenAlex and resources on where to learn more.