The philosophy behind FAIR has deeper implications than good data stewardship and reproducibility.
Many information managers are changing focus from supporting Boolean searching of a data collections to enabling text mining and increasing discoverability.
The goal of aggregated search is to provide integrated search across multiple, heterogeneous sources. There are broadly two technology approaches that have been used to achieve this; federated search and web-scale indexing, but those aren’t the only options.
Information managers can have important consultative roles to play in every aspect of creating and maintaining FAIR data and workflows. Mary Ellen Bates outlines how here.
It behooves information specialists to semantically search patent information in addition to scientific literature review. Jill Shuman shares why.
How can information managers find strategic roles to play in their organization’s AI and data analysis projects?
Could the velocity of scholarly content published be a measure of innovation in the fight against Coronavirus infections?