Open data are information entities that are of significant importance for many institutions, businesses and even citizens as the part of the digital transformation within many fields in our society. The aim of this paper is to provide a competitive environment analysis method using open source intelligence within the pharmaceutical sector and to design the optimal data structure for this purpose. Firstly, we have described the state-of-the-art of open human medicine data within the European Union with a focus on antidepressants and we have chosen the Czech Republic as the primary research territory for demonstrating competitive intelligence analysis. Secondly, we have identified the competitive intelligence and open source intelligence relationship with a new possible contextual analysis method using open human medicine data and Google Search data. Finally, this paper shows the potential of open deep web data within competitive intelligence activities, together with surface web data entities as a lowcost approach with high intelligence value focused on the pharmaceutical market.

中文翻译：

---

使用开放数据和Google搜索数据进行竞争情报分析

开放数据是信息实体，对于我们社会中许多领域的数字化转型而言，对于许多机构，企业甚至市民而言，都是至关重要的。本文的目的是提供一种在制药行业中使用开源情报的竞争性环境分析方法，并为此目的设计最佳数据结构。首先，我们以抗抑郁药为重点描述了欧盟内部最先进的人类医学开放数据，我们选择了捷克共和国作为展示竞争情报分析的主要研究领域。其次，我们已经使用一种新的可能的上下文分析方法（使用开放式人类医学数据和Google搜索数据）确定了竞争情报和开源情报之间的关系。