Research Analytics: Boosting University Productivity and Competitiveness through Scientometrics (Data Analytics Applications)
暫譯: 研究分析：透過科學計量學提升大學生產力與競爭力（數據分析應用）
- 出版商: Auerbach Publication
- 出版日期: 2017-10-26
- 售價: $7,040
- 貴賓價: 9.5 折 $6,688
- 語言: 英文
- 頁數: 288
- 裝訂: Hardcover
- ISBN: 1498785425
- ISBN-13: 9781498785426
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
商品描述
The growth of machines and users of the Internet has led to the proliferation of all sorts of data concerning individuals, institutions, companies, governments, universities, and all kinds of known objects and events happening everywhere in daily life. Scientific knowledge is not an exception to the data boom. The phenomenon of data growth in science pushes forth as the number of scientific papers published doubles every 9–15 years, and the need for methods and tools to understand what is reported in scientific literature becomes evident.
As the number of academicians and innovators swells, so do the number of publications of all types, yielding outlets of documents and depots of authors and institutions that need to be found in Bibliometric databases. These databases are dug into and treated to hand over metrics of research performance by means of Scientometrics that analyze the toil of individuals, institutions, journals, countries, and even regions of the world.
The objective of this book is to assist students, professors, university managers, government, industry, and stakeholders in general, understand which are the main Bibliometric databases, what are the key research indicators, and who are the main players in university rankings and the methodologies and approaches that they employ in producing ranking tables.
The book is divided into two sections. The first looks at Scientometric databases, including Scopus and Google Scholar as well as institutional repositories. The second section examines the application of Scientometrics to world-class universities and the role that Scientometrics can play in competition among them. It looks at university rankings and the methodologies used to create these rankings. Individual chapters examine specific rankings that include:
- QS World University
- Scimago Institutions
- Webometrics
- U-Multirank
- U.S. News & World Report
The book concludes with a discussion of university performance in the age of research analytics.
商品描述(中文翻譯)
隨著機器和網際網路使用者的增長，各種有關個人、機構、公司、政府、大學以及日常生活中各種已知物體和事件的數據也隨之激增。科學知識也不例外，數據的爆炸性增長在科學領域中表現得尤為明顯，因為每9到15年發表的科學論文數量會翻倍，對於理解科學文獻中報告內容的方法和工具的需求變得愈加明顯。
隨著學者和創新者的數量增加，各類出版物的數量也隨之上升，這導致了需要在文獻計量數據庫中找到的文件和作者及機構的儲存庫。這些數據庫被深入挖掘並處理，以通過科學計量學（Scientometrics）提供研究表現的指標，分析個人、機構、期刊、國家，甚至世界各地的區域的努力成果。
本書的目的是幫助學生、教授、大學管理者、政府、產業及一般利益相關者了解主要的文獻計量數據庫、關鍵的研究指標，以及在大學排名中主要的參與者及其在製作排名表時所採用的方法和途徑。
本書分為兩個部分。第一部分探討科學計量數據庫，包括 Scopus 和 Google Scholar 以及機構資料庫。第二部分則檢視科學計量學在世界一流大學中的應用，以及科學計量學在它們之間競爭中所能扮演的角色。它探討了大學排名及用於創建這些排名的方法論。各章節將具體檢視以下排名：
- QS 世界大學排名
- Scimago 機構排名
- Webometrics
- U-Multirank
- U.S. News & World Report
本書最後將討論在研究分析時代下的大學表現。
