During this final stage of the research manuscript lifecycle, researchers, institutions, funders, and publishers are all focused on evaluating the impact of published research, though often through different lenses.
In this dynamic environment, information professionals must be critical thinkers, creative sourcers, and discerning evaluators, ensuring their clients not only find the information they need, but also develop the skills to thrive in the ever-evolving information ecosystem.
It takes more than having a good idea to find a drug, so the more time a drug discoverer can save in comprehensively identifying all the relevant information, evidence and data, the better.
Carl Robinsons discusses some of the key issues data science teams encounter when building their own datasets, and how a vendor like CCC can help eliminate these issues.
Using publicly available data for research or projects may be attractive because it can be more easily accessible than proprietary or private materials.
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.
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.
CCC’s scientific article discovery solution, RightFind XML, was chosen as the Bio-IT World 2023 Best in Show award honoree at its World Conference & Expo Europe in London.