The Usefulness of Data from Web of Science and Scopus Databases for Analyzing the State of a Scientific Discipline. The Case of Library and Information Science
{"title":"The Usefulness of Data from Web of Science and Scopus Databases for Analyzing the State of a Scientific Discipline. The Case of Library and Information Science","authors":"Z. Osiński","doi":"10.36702/zin.469","DOIUrl":null,"url":null,"abstract":"Purpose/Thesis: Many countries increasingly use bibliographic databases while devising new scientific policies to analyze and diagnose the state of a scientific discipline. Previous studies on the suitability of data from Web of Science and Scopus databases for this purpose gave ambiguous results. Their authors did not always account for an important issue – the quality of data from these databases. The aim of the article is to analyze the quality of data downloaded in an automated manner from the resources of the mentioned databases.Approach/Methods: The author used a qualitative method of data verification which consisted of automatic acquisition of data about journals from the Web of Science and Scopus databases, and then in their qualitative analysis. The analysis consisted of a comparison of data on journals representing of library and information science (LIS) retrieved from both databases and of the comparison between the qualitative data taken from the studied databases and the data from other, domain focused bibliographic databases; of comparing the acquired data with the information available on the websites of indexed journals and of the comparison of the method used by the producers of the abovementioned databases used to classify the journals as related of LIS, with the thematic scope of the discipline, as agreed upon by scholars.Results and conclusions: It was found that in the case of the examined discipline, automated data acquiring poses a risk of obtaining a low credibility set of data. Most problems are caused by the incompleteness of data and errors in disciplinary classifying journals, articles and authors.Originality/Value: It was shown that, contrary to the claims of the decision-makers of Polish science, in its present form, the studied bibliographic databases have only negligible usefulness for monitoring the state and development tendencies of LIS. Methodological problems created by both databases, presented in this article, may also have an impact on generating a reliable and objective picture of other scientific disciplines. The changes in the sphere of the functioning of WoS and Scopus, apparent for several years, have not dealt with the already existing problems and inconveniences.","PeriodicalId":176717,"journal":{"name":"Zagadnienia Informacji Naukowej - Studia Informacyjne","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zagadnienia Informacji Naukowej - Studia Informacyjne","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36702/zin.469","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Purpose/Thesis: Many countries increasingly use bibliographic databases while devising new scientific policies to analyze and diagnose the state of a scientific discipline. Previous studies on the suitability of data from Web of Science and Scopus databases for this purpose gave ambiguous results. Their authors did not always account for an important issue – the quality of data from these databases. The aim of the article is to analyze the quality of data downloaded in an automated manner from the resources of the mentioned databases.Approach/Methods: The author used a qualitative method of data verification which consisted of automatic acquisition of data about journals from the Web of Science and Scopus databases, and then in their qualitative analysis. The analysis consisted of a comparison of data on journals representing of library and information science (LIS) retrieved from both databases and of the comparison between the qualitative data taken from the studied databases and the data from other, domain focused bibliographic databases; of comparing the acquired data with the information available on the websites of indexed journals and of the comparison of the method used by the producers of the abovementioned databases used to classify the journals as related of LIS, with the thematic scope of the discipline, as agreed upon by scholars.Results and conclusions: It was found that in the case of the examined discipline, automated data acquiring poses a risk of obtaining a low credibility set of data. Most problems are caused by the incompleteness of data and errors in disciplinary classifying journals, articles and authors.Originality/Value: It was shown that, contrary to the claims of the decision-makers of Polish science, in its present form, the studied bibliographic databases have only negligible usefulness for monitoring the state and development tendencies of LIS. Methodological problems created by both databases, presented in this article, may also have an impact on generating a reliable and objective picture of other scientific disciplines. The changes in the sphere of the functioning of WoS and Scopus, apparent for several years, have not dealt with the already existing problems and inconveniences.
目的/论文:许多国家在制定新的科学政策来分析和诊断科学学科的状况时,越来越多地使用书目数据库。先前关于Web of Science和Scopus数据库数据是否适合用于此目的的研究给出了模糊的结果。它们的作者并不总是考虑到一个重要的问题——来自这些数据库的数据质量。本文的目的是分析以自动化方式从上述数据库的资源中下载的数据的质量。方法:采用定性数据验证方法,自动从Web of Science和Scopus数据库中获取期刊数据,并对其进行定性分析。分析包括从两个数据库中检索到的代表图书馆情报学(LIS)期刊的数据的比较,以及从所研究的数据库中获取的定性数据与从其他以领域为重点的书目数据库中获取的数据的比较;将获得的数据与已索引期刊网站上的信息进行比较,并将上述数据库的生产者用于将与LIS相关的期刊分类的方法与学者们商定的学科主题范围进行比较。结果和结论:研究发现,在被调查学科的情况下,自动化数据获取存在获得低可信度数据集的风险。大多数问题是由于数据不完整和学科分类期刊、文章和作者的错误造成的。原创性/价值:研究表明,与波兰科学决策者的主张相反,以目前的形式,所研究的书目数据库在监测国家信息系统的状态和发展趋势方面只有微不足道的用处。本文提出的这两个数据库所产生的方法论问题,也可能对生成其他科学学科的可靠和客观的图像产生影响。WoS和Scopus功能领域的变化已经持续了好几年,但并没有解决已经存在的问题和不便。