SDG11_NL_Outputs

This list of Digital Object Identifiers (DOI) represents the results of the Sustainable Development Goal (SDG) content classifier for Goal No.11 Sustainable Cities and Communities. All DOIs contain at least one author whose is affiliated with a research organisation in the Netherlands. The classifier was created as part of a unique collaboration between Springer Nature, Digital Science, and VSNU/UKB. For further information, see below. All data in the Excel was sourced from Dimensions, an inter-linked research information system provided by Digital Science (https://www.dimensions.ai) The data has been released for strictly non-commercial use under a CC-BY-NC-SA 4.0 license. The data may be analysed for non-commercial reports or studies related to the SDGs until December 2022. Thereafter further reuse of the data requires Digital Science's approval. Background information: Springer Nature, together with Digital Science, and The Association of Universities in the Netherlands (VSNU) and the Dutch Consortium of University Libraries and The National Library of The Netherlands (UKB) created a model from a selection of Sustainable Development Goals (SDG) focusing on societal aspects in the United Nations (UN) Sustainability Agenda. Keyword search strings for five goals were defined, with input from the project partners, in order to produce training sets based on publications from the Dimensions platform. Using improved search strings instead of a manual build-up of respective sets of SDG related publications, the created training sets were used to apply Natural Language Processing and Machine Learning resulting in a classification scheme based on five UN SDGs.本数字对象标识符（Digital Object Identifier，DOI）列表为可持续发展目标（Sustainable Development Goal，SDG）第11号“可持续城市和社区”内容分类器的运行结果。所有DOI对应的文献均至少拥有一位隶属于荷兰科研机构的作者。该分类器是施普林格自然（Springer Nature）、数字科学公司（Digital Science）以及VSNU/UKB开展的独特合作项目的组成部分。如需进一步了解详情，请参见下文。本Excel文件中的所有数据均来自数字科学公司提供的互联科研信息系统Dimensions（https://www.dimensions.ai）。本数据集仅可根据CC-BY-NC-SA 4.0许可协议用于非商业用途。在2022年12月之前，可基于本数据集开展与可持续发展目标相关的非商业报告或研究分析。2022年12月之后，再次使用本数据集需获得数字科学公司的许可。背景信息：施普林格自然联合数字科学公司、荷兰大学协会（Association of Universities in the Netherlands，VSNU）以及荷兰大学图书馆联盟与荷兰国家图书馆（UKB），从联合国（United Nations，UN）可持续发展议程中聚焦社会层面的可持续发展目标中遴选部分内容，构建了该分类模型。项目合作方共同参与制定了5个目标的关键词检索式，以便基于Dimensions平台的文献生成训练数据集。相较于手动构建各可持续发展目标相关文献集的方式，项目组使用优化后的关键词检索式生成训练数据集，并通过自然语言处理与机器学习技术，最终得到基于5项联合国可持续发展目标的分类体系。