In this post – the first of two discussing artificial intelligence and information discovery – we explore the evolution of information discovery, its role in the research journey, and how it can be applied to help researchers and publishers alike.
Last week, the news broke about a new service called DOAI that is designed to support open access. It is not a publishing model or a repository but rather a type of infrastructure. When a user inputs a DOI, DOAI connects […]
Robert Harington asks Tim Collins for his views on publishing industry trends seen through the prism of his leadership role at EBSCO, exploring Tim’s sense of a connected world of stakeholders in today’s publishing industry.
Publishers and libraries do not completely understand how changing information consumption patterns, especially in the transition to mobile, should affect their product, infrastructure, and acquisitions strategies. Consider enticing or forcing your organization to engage more deeply with the mobile user experience.
The review article follows narrative conventions similar to other journal articles limiting its value in many types of discovery processes. Could the review article’s organization and analysis of the field be used to improve discovery in other types of research workflows?
I have been tracking one kind of discovery – what I will call the quest for comprehensiveness – that is widespread among researchers but seems comparatively quiescent in professional discussion about supporting researcher needs. Would it be possible, I wonder, to develop a discovery tool that is designed not to find you the best items but rather to provide some assurance that you hadn’t missed something?
A researcher’s core interests may be in a specific set of areas, but effective discovery also helps that researcher to stay aware of adjacent areas of interest or even potential areas of unknown interest. Personalized approaches to discovery can improve research efficiency without sacrificing serendipity.
With OA gaining momentum and hybrid and full OA policies becoming more common, article-level metadata and other standard approaches are necessary to facilitate discoverability.