4:00 p.m. - 4:45 p.m.
This session provides a case study of how Big Data and informetrics were used to drive decision making and improve innovation and competitiveness in the U.K. The U.K.’s Department of Business, Innovation and Skills commissioned Elsevier to assess the U.K.’s research performance compared with seven other research-intensive countries (Canada, China, France, Germany, Italy, Japan, and the U.S)., three fast growing nations (Brazil, India and Russia), and other international benchmarks. Using its Fingerprint Engine, Elsevier scanned text, such as a journal article abstract, patent, or awarded grants. Then using a variety of thesauri and natural language processing (NLP) tech- niques, EBSCO analyzed the information, identified and weighed the key concepts in the text, and presented them in a graphical representation, called the document finger- print. This technique allows sophisticated analysis of more granular subject areas when a journal-based classification is not granular enough and a keyword search is not good enough. Hear about the process and the results.
