{"title":"Methodology to categorize the research output of academic institutions, through the Sustainable Development goals (SDGs)","authors":"Patricio Cortés-Rodríguez, Renzo Rondanelli-Delpiano, Paola Santander-Meneses, Ricardo Vilches-Vargas","doi":"10.35241/emeraldopenres.14355.1","DOIUrl":null,"url":null,"abstract":"Background: This article presents a methodology to categorize scientific publications according to the targets of the 17 Sustainable Development Goals (SDGs) of the United Nations. For the above, a dataset with bibliographic and descriptive attributes of 2,379 articles from 2017 by co-authors affiliated to the Pontificia Universidad Católica de Chile, indexed in the Web of Science and Scopus databases, was used. Methods: The methodology considered three relevant and consecutive milestones: establishment of the reading level that was applied for each publication record, which considers a proportional amount of information; assignment of one of the 18 categories identified for the analysis of the information, which include the 17 SDGs and the option \"unclassified\" and one of the 169 subcategories corresponding to the specific goals; and, finally, recording the status of the review process carried out, which allowed control of the progress and quality of the cross-review. Results: The results show that 58.6% of the articles contribute to a primary target, of these 233 contribute to a secondary target; goals 3, 4, 9, and 11 are the most frequent in the process of assigning SDGs. There is an 81% increase in the use of alphanumeric targets when they are assigned as secondary targets. At the same time, cross-checking is shown to be beneficial when allowing the reclassification of 190 articles to some of the targets. Finally, it is established that levels 2 and 3 enabled better classification, given that the contents considered provide more information; however, it is significant that through level 1, 355 articles were categorized as \"unclassified\". Conclusions: It is concluded that the methodology allows for a conclusive, exhaustive, rigorous, extensive, and varied classification through the different milestones and actions carried out, providing strategic information for decision making and research management in the academy-society relationship.","PeriodicalId":91015,"journal":{"name":"Emerald open research","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Emerald open research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35241/emeraldopenres.14355.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Background: This article presents a methodology to categorize scientific publications according to the targets of the 17 Sustainable Development Goals (SDGs) of the United Nations. For the above, a dataset with bibliographic and descriptive attributes of 2,379 articles from 2017 by co-authors affiliated to the Pontificia Universidad Católica de Chile, indexed in the Web of Science and Scopus databases, was used. Methods: The methodology considered three relevant and consecutive milestones: establishment of the reading level that was applied for each publication record, which considers a proportional amount of information; assignment of one of the 18 categories identified for the analysis of the information, which include the 17 SDGs and the option "unclassified" and one of the 169 subcategories corresponding to the specific goals; and, finally, recording the status of the review process carried out, which allowed control of the progress and quality of the cross-review. Results: The results show that 58.6% of the articles contribute to a primary target, of these 233 contribute to a secondary target; goals 3, 4, 9, and 11 are the most frequent in the process of assigning SDGs. There is an 81% increase in the use of alphanumeric targets when they are assigned as secondary targets. At the same time, cross-checking is shown to be beneficial when allowing the reclassification of 190 articles to some of the targets. Finally, it is established that levels 2 and 3 enabled better classification, given that the contents considered provide more information; however, it is significant that through level 1, 355 articles were categorized as "unclassified". Conclusions: It is concluded that the methodology allows for a conclusive, exhaustive, rigorous, extensive, and varied classification through the different milestones and actions carried out, providing strategic information for decision making and research management in the academy-society relationship.
背景:本文介绍了一种根据联合国17个可持续发展目标(SDGs)的具体目标对科学出版物进行分类的方法。对于上述研究,我们使用了一个数据集,该数据集包含了2017年2379篇文章的书目和描述性属性,这些文章是由隶属于智利教廷大学Católica的共同作者撰写的,并在Web of Science和Scopus数据库中进行了索引。方法:该方法考虑了三个相关且连续的里程碑:建立适用于每个出版记录的阅读水平,该水平考虑了一定比例的信息量;指定用于分析信息的18个类别中的一个,其中包括17个可持续发展目标和“未分类”选项,以及与具体目标对应的169个子类别中的一个;最后,记录所进行的评审过程的状态,这样可以控制交叉评审的进度和质量。结果:58.6%的文章对一级目标有贡献,其中233篇文章对二级目标有贡献;在分配可持续发展目标的过程中,目标3、4、9和11是最常见的。当字母数字目标被指定为次要目标时,它们的使用增加了81%。同时,交叉检查在允许将190篇文章重新分类到某些目标时是有益的。最后,考虑到所考虑的内容提供了更多的信息,可以确定第2级和第3级能够更好地分类;然而,值得注意的是,在第1355级中,有355篇文章被归类为“未分类”。结论:该方法通过不同的里程碑和行动进行了结论性的、详尽的、严格的、广泛的和多样化的分类,为学院-社会关系中的决策和研究管理提供战略信息。