Open data and open code for S&T assessment

The open data and open code that can be freely used for S&T assessment together with sample analyses has been discussed. The Scholarly Database (SDB) at Indiana University offers several advantages for S&T studies such as search queries for an author, investigator, or inventor name or topic term can be run against multiple databases offering simultaneous retrieval of all funding, publications, and patents relevant for a query. The Network Workbench (NWB) is a tool that supports researchers, educators, and practitioners interested in the study of biomedical, social and behavioral science, physics, and other networks. The NWB tool is provided with an associated community wiki, extensive documentation of algorithms, and sample data sets. The users can combine the SDB with the NWB tool to study S&T data sets professionally in a manner that anyone can easily replicate. The AI search results generate a US Patent and Trademark Office (USPTO) citation network that has 3,614 nodes, 8,393 edges, and 107 components.

Duke Scholars

Author Angela Zoss