Queries to identify climate change research that takes an engineering approach

This dataset was created as part of work conducted for the NSF Engineering Research Visioning Alliance's inaugural Visioning Event, entitled "The Role of Engineering in Addressing Climate Change". The dataset is composed of <ol><li>four text (.txt) files, each containing a single query used to identify research relevant to climate change; and</li> <li>three comma-separated values (.csv) files including information about how engineering research was defined.</li></ol>The goal of this work was to conduct bibliometric analyses aimed at better understanding the role engineering plays in climate change research. To do so, the set of documents returned from the climate change queries was crossed with the set of documents returned from the engineering query. Files 01 through 04 each contain a single Scopus query that aims to capture either general climate change research (01) or specific topics of interest within climate change research (02-04). These are queries that could be run using the scopus.com advanced document search feature. Given engineering is a broad field, keyword-based queries were not an efficient way to capture all relevant articles. Instead, three complementary classification schemes were used to capture this research. The following files summarize which parts of the classification schemes were mostly engineering-focused. An effort was made to keep this publication set maximally inclusive, such that it also includes some wider applied research subfields. File 05a contains the All Science Journal Classification (ASJC) classes that were identified as being engineering for the purpose of this project. The ASJC is a journal-level classification, which means that all articles from a given journal are classified in the same subject area(s). A complete list of ASJC codes can be found <a href = "https://service.elsevier.com/app/answers/detail/a_id/15181/supporthub/scopus/" target="_blank">here</a>. File 05b refers to Science-Metrix (SM) subfields identified as being engineering. The SM classification is also made at the journal-level, but articles from multidisciplinary journals such as Science or Nature are reclassified at the article level by a machine learning model (<a href = "https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0251493" target="_blank">Read the article here</a>), allowing us to capture more articles than using ASJC alone. File 05c refers to the SciVal Topics that were included in the engineering publication set. Topics are collections of documents that share a common intellectual interest, as identified through their direct citation patterns. For a high-level description of SciVal Topics, see <a href = "https://www.elsevier.com/solutions/scival/features/topic-prominence-in-science" target="_blank">this page</a>. A detailed description of the methodology used to create Topics is also available in <a href = "https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.22748" target="_blank">this article</a>.本数据集是为美国国家科学基金会（NSF）工程研究愿景联盟（Engineering Research Visioning Alliance）首届主题为"工程在应对气候变化中的作用"的愿景活动所开展的工作而创建的。 本数据集包含两类文件： <ol> <li>4个文本（.txt）文件，每个文件均包含一条用于检索与气候变化相关研究的查询语句；以及</li> <li>3个逗号分隔值（.csv）文件，其中收录了工程研究的定义相关信息。</li> </ol> 本研究的目标是开展文献计量分析，以更深入地理解工程在气候变化研究中所扮演的角色。为此，我们将气候变化相关查询返回的文献集合，与工程相关查询返回的文献集合进行了交叉比对。 文件01至04各包含一条Scopus查询语句，旨在捕获两类研究：一是通用气候变化研究（文件01），二是气候变化研究中的特定热门主题（文件02至04）。此类查询可通过Scopus官网的高级文献检索功能运行。 鉴于工程领域范围广泛，基于关键词的查询无法高效捕获所有相关文献。为此，我们采用了三种互补的分类方案来收录相关研究。下述文件汇总了各类分类方案中以工程为核心的部分。我们尽可能使本次收录的文献集合具有最大包容性，因此也纳入了部分更广泛的应用研究子领域。 文件05a收录了本项目中被界定为工程领域的全科学期刊分类（All Science Journal Classification，简称ASJC）。ASJC属于期刊级分类体系，即同一期刊的所有文章均被划归至相同的学科领域。完整的ASJC代码列表可参见<a href="https://service.elsevier.com/app/answers/detail/a_id/15181/supporthub/scopus/" target="_blank">此处</a>。 文件05b涉及被界定为工程领域的科学计量学子领域（Science-Metrix，简称SM）。SM分类体系同样采用期刊级分类，但对于《科学》（Science）或《自然》（Nature）等多学科期刊的文章，会通过机器学习模型在文章层级进行重新分类（<a href="https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0251493" target="_blank">详见相关论文</a>），这使得我们能够比仅使用ASJC分类捕获更多文献。 文件05c涉及被纳入工程文献集合的SciVal主题。SciVal主题是指通过直接引用模式识别出的、拥有共同学术兴趣的文献集合。如需了解SciVal主题的高层次概述，可参见<a href="https://www.elsevier.com/solutions/scival/features/topic-prominence-in-science" target="_blank">该页面</a>；有关创建主题所用方法的详细说明，可参见<a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/asi.22748" target="_blank">此论文</a>。