Open Access. Powered by Scholars. Published by Universities.®
![Digital Commons Network](http://assets.bepress.com/20200205/img/dcn/DCsunburst.png)
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Publication
- Publication Type
Articles 1 - 4 of 4
Full-Text Articles in Social and Behavioral Sciences
The Fast And The Curious: Accelerating Literature Reviews With Ai, Jennifer Freer, Natalia Tingle Dolan, Gabrielle Wiersma
The Fast And The Curious: Accelerating Literature Reviews With Ai, Jennifer Freer, Natalia Tingle Dolan, Gabrielle Wiersma
Presentations and other scholarship
As the world of academic research shifts gears into the digital age, AI-powered tools are beginning to shape the scholarly landscape. Just as high-performance vehicles transformed the world of car racing, AI-powered tools like scite, Elicit, and Research Rabbit have the potential to revolutionize the traditional literature review process. This presentation will accelerate your understanding of AI literature review tools and how these technologies can turbocharge the research process. Navigating between traditional library tools and AI-powered systems can be like choosing the right vehicle for the race. AI tools can enhance the speed, depth, and breadth of literature reviews, allowing …
Discoverability And Search Engine Visibility Of Repository Platforms, Danping Dong, Aaron Tay
Discoverability And Search Engine Visibility Of Repository Platforms, Danping Dong, Aaron Tay
Research Collection Library
It is of increasing interest and importance to understand the discoverability of content hosted on institutional repositories (IRs) and data repositories beyond the library context and on the wider web, as IRs play a significant role in promoting and disseminating the research outputs of an institution. This chapter provides an overview of early studies on IR discoverability in search engines, discusses standardized metrics for repository usage and ways to monitor search engine optimization, and provides practical suggestions to expose IR content to non-Google indexes and aggregators, such as Unpaywall. The second part of this chapter presents a case study and …
Evidence-Based-Review-Of-Academic-Web-Search-Engines-Preprint.Pdf, Jody C. Fagan 5609471
Evidence-Based-Review-Of-Academic-Web-Search-Engines-Preprint.Pdf, Jody C. Fagan 5609471
Jody C Fagan
An Evidence-Based Review Of Academic Web Search Engines, 2014-2016: Implications For Librarians’ Practice And Research Agenda, Jody C. Fagan
An Evidence-Based Review Of Academic Web Search Engines, 2014-2016: Implications For Librarians’ Practice And Research Agenda, Jody C. Fagan
Libraries
Academic web search engines have become central to scholarly research. While the fitness of Google Scholar for research purposes has been examined repeatedly, Microsoft Academic and Google Books have not received much attention. Recent studies have much to tell us about the coverage and utility of Google Scholar, its coverage of the sciences, and its utility for evaluating researcher impact. But other aspects have been understudied, such as coverage of the arts and humanities, books, and non-Western, non-English publications. User research has also tapered off. A small number of articles hint at the opportunity for librarians to become expert advisors …