Science, Technology and Innovation (STI) decision-makers often need to have a
clear vision of what is researched and by whom to design effective policies.
Such a vision is provided by effective and comprehensive mappings of the
research activities carried out within their institutional boundaries. A major
challenge to be faced in this context is the difficulty in accessing the
relevant data and in combining information coming from different sources:
indeed, traditionally, STI data has been confined within closed data sources
and, when available, it is categorised with different taxonomies. Here, we
present a proof-of-concept study of the use of Open Resources to map the
research landscape on the Sustainable Development Goal (SDG) 13-Climate Action,
for an entire country, Denmark, and we map it on the 25 ERC panels.

本文介绍了一项研究，使用开放资源来对整个国家丹麦在可持续发展目标 SDG 13 气候行动领域的研究进行映射，并将其映射到 25 个 ERC 小组（欧洲研究理事会小组）中，以帮助科学技术与创新决策者有效设计政策。

利用开放数据绘制 STI 生态系统：克服冲突分类法限制的方法。以丹麦气候变化研究为例的案例研究

Mapping STI ecosystems via Open Data: overcoming the limitations of conflicting taxonomies. A case study for Climate Change Research in Denmark

In recent years, with the rapid growth of Internet data, the number and types
of scientific and technological resources are also rapidly expanding. However,
the increase in the number and category of information data will also increase
the cost of information acquisition. For technology-based enterprises or users,
in addition to general papers, patents, etc., policies related to technology or
the development of their industries should also belong to a type of scientific
and technological resources. The cost and difficulty of acquiring users.
Extracting valuable science and technology policy resources from a huge amount
of data with mixed contents and providing accurate and fast retrieval will help
to break down information barriers and reduce the cost of information
acquisition, which has profound social significance and social utility. This
article focuses on the difficulties and problems in the field of science and
technology policy, and introduces related technologies and developments.

介绍了科技政策资源获取的困难与问题，并探讨了相关技术和发展，提供了从大量混杂内容的数据中提取有价值的科技政策资源并提供准确、快速检索的方法，以打破信息壁垒和降低信息获取成本，具有重要的社会意义和社会效益。