论文标题
通过开放存储库和AI绘制气候变化研究：基于证据的研发政策制定的优势和限制
Mapping Climate Change Research via Open Repositories & AI: advantages and limitations for an evidence-based R&D policy-making
论文作者
论文摘要
在过去的几年中，几项计划开始以开放的方式提供对研究输出数据和元数据的访问。这些举措开发的平台正在向更广泛的公众开放科学生产，这对于基于循证的科学，技术和创新（STI）的决策是宝贵的资产。这些资源确实可以促进知识发现，并帮助确定特定感兴趣的研究领域中可用的研发资产和相关参与者。理想情况下，要全面了解整个Sti生态系统，应将这些资源提供的信息相应地组合和分析。为了确保这样，应在数据源之间保证至少一定程度的互操作性，以便可以更好地汇总和补充数据，并且为决策提供的证据更加完整和可靠。在这里，我们研究了通过使用4个流行的Open Access STI数据源（即OpenAire，Open Alex，Cordis和Kohesio），在整个丹麦STI生态系统中绘制气候行动研究的情况是否就是这种情况。
In the last few years, several initiatives have been starting to offer access to research outputs data and metadata in an open fashion. The platforms developed by those initiatives are opening up scientific production to the wider public and they can be an invaluable asset for evidence-based policy-making in Science, Technology and Innovation (STI). These resources can indeed facilitate knowledge discovery and help identify available R&D assets and relevant actors within specific research niches of interest. Ideally, to gain a comprehensive view of entire STI ecosystems, the information provided by each of these resources should be combined and analysed accordingly. To ensure so, at least a certain degree of interoperability should be guaranteed across data sources, so that data could be better aggregated and complemented and that evidence provided towards policy-making is more complete and reliable. Here, we study whether this is the case for the case of mapping Climate Action research in the whole Denmark STI ecosystem, by using 4 popular open access STI data sources, namely OpenAire, Open Alex, CORDIS and Kohesio.
