The aim of the study is to demonstrate knowledge and information management as a mechanism for developing technological foresight regarding the use of biotechnology in drugs for breast cancer. The methodology applies competitive intelligence (CI) tools to identify international trends concerning drugs for treatment and/or diagnosis, and to identify leading institutions. Continue reading Technological foresight—the use of biotechnology in the development of new drugs against breast cancer
This work on biodegradable polymers involved an analysis of patents to identify indicators for evaluating the prospects and opportunities of action in the field of polymers. We used the Spacenet database and VantagePoint software. Continue reading Biodegradable Polymers: Sectorial Overview and Prospects
Nano-biomedical science (NBMS) is a promising area in the application of nanotechnology. This paper profiles a group of 21 leading scientists in nanobiomedicine based on high publication rate and high citations. Comparisons with other researchers indicate that the leaders publish more in high impact journals and collaborate more extensively (team science).
An organization’s knowledge gained through technical conference attendance is generally isolated to the individual(s) attending the event. The aggregate corporate knowledge is extremely limited, unless the organization institutes a process to document and transfer that knowledge to the organization. Even if such a process exists, the knowledge gains are limited to the experiences and communication skills of the individuals attending the conference.
In this paper we discuss and demonstrate how traditional literature reviews may be enriched by computer-assisted research profiling. Research profiling makes use of sophisticated text-mining tools designed for structured science and technology information resources, such as the ISI Web of Science, INSPEC or ABI/INFORM ProQuest.
This report identifies the science and technology (S&T) core competencies of Brazil. After a brief background on Brazil’s R&D infrastructure and funding, it analyzes analyzes tens of thousands of research papers by Brazilian authors drawn from global databases [Science Citation Index (“SCI”) and Social Science Citation Index (“SSCI”), and the EI Compendex (“EC”)]. It also explores additional metrics and presentations to enrich the model and facilitate user access to the S&T intelligence they seek.