Using publicly available data for research or projects may be attractive because it can be more easily accessible than proprietary or private materials.
Whether recently graduated or transitioning into the role from a different career, information professionals (IPs) new to thÂeir position face unique challenges as they work to help their organization achieve its goals.
Utilizing deep search can help an organization reduce the manual effort needed to secure crucial data found in gaps, such as across multiple unconnected data sources.
At the Town Hall, CCC colleagues Babis Marmanis and Catherine Zaller Rowland will explore AI & LLM related issues with copyright experts Daniel Gervais and Noam Shemtov.
Of the many applications of deep search benefitting organizations, a standout is the ability for an organization to use the solution to create an entirely new dataset when no single source exists and essential information is spread across multiple unconnected sources.
We dive into an exploration of some specific ways that deep search can help organizations, beginning with maximizing return on investment into existing data sources.
Throughout the past year, feedback from the scholarly publishing community was an essential component to enhancing CCC’s market-leading solutions to help publishers of all sizes.