Advancing a FAIR data ecosystem will expand opportunities for data-driven and data-enabled research on complex problems. Join us for this four-part series on production and use of data that is Findable, Accessible, Interoperable, and Reusable (FAIR). Webinars will be recorded. Watch in real time for live Q&A.
- 22 April, 18:00 – 19:00 CEST, Peter Rose & Ilya Zaslavsky, both from San Diego Supercomputer Center, UC San Diego; Iris Shen, Principal Data Scientist., Microsoft Academic Team, Microsoft; Natalie Meyers, E-Research Librarian, Navari Center for Digital Scholarship, Hesburgh Library & Eric Morgan, Hesburgh Library, Notre Dame
“Fighting COVID-19 by Mining Insights from Heterogeneous Datasets”
Data and domain experts will walk you through how they are using various data and information science techniques to mine insight from available and emerging datasets related to COVID-19. Peter Rose& Ilya Zaslavsky will demonstrate their open knowledge graph: COVID-19-Net, linking heterogeneous COVID-19 data sources. Iris Shen will discuss Microsoft Academic resources and their application to COVID-19 research. Natalie Meyers will give insights into her use of the US CORD-19 dataset and how simple surveys can yield quick insight into national response trends.
Register for the webinar: https://www.sdsc.edu/services/data_science/research_data_services.html. Webinar recordings and slides will be available under this link as well.