Canongia Claudia
National Institute for Metrology, Standardization and Industrial Quality (INMETRO), Brazil.
Biotechnol Adv. 2007 Jan-Feb;25(1):57-74. doi: 10.1016/j.biotechadv.2006.10.001. Epub 2006 Oct 19.
The aim of this paper is to demonstrate the synergy between Competitive Intelligence, Knowledge Management and Technological Foresight, and to emphasize the proposal of a strategic model of data prospecting as a mechanism to support decision-making in regard to three approaches for sustainable development and innovation: technological, social and economic. The use of biotechnology in the development of drugs against breast cancer is the case study. The article shows the results of data and text mining in specialized medical and patent databases, identifying the most frequently cited drugs, as well as the authors of research, and the inventors of new technology at the beginning of the 21st century. In addition, the study includes reference to Brazilian competence in breast cancer area, the international trends in drugs for treatment of this cancer, leading international institutions and Brazilian competencies. A framework is presented, which could serve as a guide and support for the decision-making process.
本文旨在展示竞争情报、知识管理和技术预见之间的协同作用,并强调提出一种数据挖掘战略模型,作为一种机制,以支持关于可持续发展和创新的三种方法(技术、社会和经济)的决策。以生物技术在抗乳腺癌药物研发中的应用作为案例研究。本文展示了在专业医学和专利数据库中进行数据和文本挖掘的结果,识别出21世纪初最常被引用的药物、研究作者以及新技术的发明者。此外,该研究还提及了巴西在乳腺癌领域的竞争力、治疗该癌症药物的国际趋势、领先的国际机构以及巴西的能力。本文提出了一个框架,可为决策过程提供指导和支持。