{"title":"设计一个基于商业智能的监测平台,用于评估大学网络内的研究合作:以欧洲各国首都大学网络UNICA为例。","authors":"Muhammet Damar, Güzin Özdağoğlu, L. Saso","doi":"10.47989/irpaper945","DOIUrl":null,"url":null,"abstract":"The scope of the study is to provide decision support for academic networks to reveal the efficiency of the collaborations among the researchers. This research proposes a monitoring environment to evaluate collaboration patterns in all research areas and foster innovative, interdisciplinary, and international research. The paper presents a novel application framework for the Network of the Universities from the Capitals of Europe (UNICA) based on business intelligence. The framework is applied by analysing co-authorships through data from the Web of Science (2015 and 2020). Co-authorships between member universities are queried from the large-scale bibliographic data. A new bibliometric data warehouse is created with the integrated use of database operations with text analytics. Dashboards associated with the data warehouse contain many performance indicators and statistics based on interactive filters. The findings cover many features of the monitoring environment and statistics in various research domains (Life Science and Biomedicine, Physical Sciences, Technology, Social Sciences, Arts, and Humanities). User-friendly geographical maps visualized the most significant collaborations in various domains. The study provides an intellectual contribution by revealing the differences in collaboration levels of the research areas and indicating the policy requirements to close these gaps.","PeriodicalId":47431,"journal":{"name":"Information Research-An International Electronic Journal","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Designing a business intelligence-based monitoring platform for evaluating research collaborations within university networks: the case of UNICA - the Network of Universities from the Capitals of Europe.\",\"authors\":\"Muhammet Damar, Güzin Özdağoğlu, L. Saso\",\"doi\":\"10.47989/irpaper945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The scope of the study is to provide decision support for academic networks to reveal the efficiency of the collaborations among the researchers. This research proposes a monitoring environment to evaluate collaboration patterns in all research areas and foster innovative, interdisciplinary, and international research. The paper presents a novel application framework for the Network of the Universities from the Capitals of Europe (UNICA) based on business intelligence. The framework is applied by analysing co-authorships through data from the Web of Science (2015 and 2020). Co-authorships between member universities are queried from the large-scale bibliographic data. A new bibliometric data warehouse is created with the integrated use of database operations with text analytics. Dashboards associated with the data warehouse contain many performance indicators and statistics based on interactive filters. The findings cover many features of the monitoring environment and statistics in various research domains (Life Science and Biomedicine, Physical Sciences, Technology, Social Sciences, Arts, and Humanities). User-friendly geographical maps visualized the most significant collaborations in various domains. The study provides an intellectual contribution by revealing the differences in collaboration levels of the research areas and indicating the policy requirements to close these gaps.\",\"PeriodicalId\":47431,\"journal\":{\"name\":\"Information Research-An International Electronic Journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2022-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information Research-An International Electronic Journal\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.47989/irpaper945\",\"RegionNum\":4,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"INFORMATION SCIENCE & LIBRARY SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information Research-An International Electronic Journal","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.47989/irpaper945","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 2
摘要
研究的范围是为学术网络提供决策支持,以揭示研究人员之间的合作效率。本研究提出了一个监测环境来评估所有研究领域的合作模式,并促进创新、跨学科和国际研究。提出了一种新的基于商业智能的欧洲首都大学网络(UNICA)应用框架。该框架通过分析Web of Science(2015年和2020年)的数据来应用。从大规模的书目数据中查询成员大学之间的合作作者。通过集成使用数据库操作和文本分析,创建了一个新的文献计量数据仓库。与数据仓库关联的仪表板包含许多基于交互式过滤器的性能指标和统计信息。研究结果涵盖了各个研究领域(生命科学和生物医学、物理科学、技术、社会科学、艺术和人文科学)中监测环境和统计的许多特征。用户友好的地理地图可视化了各个领域中最重要的合作。该研究通过揭示研究领域合作水平的差异并指出缩小这些差距的政策要求,提供了智力贡献。
Designing a business intelligence-based monitoring platform for evaluating research collaborations within university networks: the case of UNICA - the Network of Universities from the Capitals of Europe.
The scope of the study is to provide decision support for academic networks to reveal the efficiency of the collaborations among the researchers. This research proposes a monitoring environment to evaluate collaboration patterns in all research areas and foster innovative, interdisciplinary, and international research. The paper presents a novel application framework for the Network of the Universities from the Capitals of Europe (UNICA) based on business intelligence. The framework is applied by analysing co-authorships through data from the Web of Science (2015 and 2020). Co-authorships between member universities are queried from the large-scale bibliographic data. A new bibliometric data warehouse is created with the integrated use of database operations with text analytics. Dashboards associated with the data warehouse contain many performance indicators and statistics based on interactive filters. The findings cover many features of the monitoring environment and statistics in various research domains (Life Science and Biomedicine, Physical Sciences, Technology, Social Sciences, Arts, and Humanities). User-friendly geographical maps visualized the most significant collaborations in various domains. The study provides an intellectual contribution by revealing the differences in collaboration levels of the research areas and indicating the policy requirements to close these gaps.
期刊介绍:
Information Research, is an open access, international, peer-reviewed, scholarly journal, dedicated to making accessible the results of research across a wide range of information-related disciplines. It is published by the University of Borås, Sweden, with the financial support of an NOP-HS Scientific Journal Grant. It is edited by Professor T.D. Wilson, and is hosted, and given technical support, by Lund University Libraries, Sweden.