Eugene Garfield 1925-2017


Book Description

Garfield's greatest contribution to science was the Science Citation Index (SCI). It is a system that used to chart connections between pieces of scientific literature. It is not only an intellectual achievement, but also an information-engineering marvel covering millions of records, from numerous subject fields and communicated over worldwide networks. These databases became the foundation of the online research tool called the Web of Knowledge. And it has now become accessible electronically via the Web of Science. Garfield enabled information retrieval to scale up basically creating the entire information science field, as we know it today. His life and work will surely inspire generations of scientists in advancing the frontiers of human knowledge. This is Informatics Studies 4(2), which is Eugene Garfield Memorial Issue. It gives a bird's eye view of Garfield's life and work and consist of an 80 page interview of Garfield published in print for the first time presenting his views on impact of information systems in scientific research, NGOs, the future of Open Access, current research, and Big science which can guide academic administrators, science policy makers in governments and scientists.




Handbook Bibliometrics


Book Description

Bibliometrics and altmetrics are increasingly becoming the focus of interest in the context of research evaluation. The Handbook Bibliometrics provides a comprehensive introduction to quantifying scientific output in addition to a historical derivation, individual indicators, institutions, application perspectives and data bases. Furthermore, application scenarios, training and qualification on bibliometrics and their implications are considered.




Driving Science Information Discovery in the Digital Age


Book Description

New digital technologies have transformed how scientific information is created, disseminated—and discovered. The emergence of new forms of scientific publishing based on open science and open access have caused a major shift in scientific communication and a restructuring of the flow of information. Specialized indexing services and search engines are trying to get into information seekers' minds to understand what users are actually looking for when typing all these keywords or drawing chemical structures. Using artificial intelligence (AI), machine learning, and semantic indexing, these "discovery agents" are trying to anticipate users' information needs. In this highly competitive environment, authors should not sit and rely only on publishers, search engines, and indexing services to make their works visible. They need to communicate about their research and reach out to a larger audience. Driving Science Information Discovery in the Digital Age looks through the "eyes" of the main "players" in this "game" and examines the discovery of scientific information from three different, but intertwined, perspectives: - Discovering, managing, and using information (Information seeker perspective) - Publishing, disseminating, and making information discoverable (Publisher perspective) - Creating, spreading, and promoting information (Author perspective). - Presents an overview of the current scientific publishing landscape - Shows how users can search for scientific information more efficiently - Critically analyses the metrics used to measure the quality of journals and the impact of research - Looks at the discovery of scientific information from the perspectives of information seekers, publishers, and authors - Delves into the practices used by specialized indexing services and search engines to process scientific information and make it discoverable - Recommends strategies that authors could use to promote their research




Handbook Bibliometrics


Book Description

"Bibliometrics and altmetrics are increasingly becoming the focus of interest in the context of research evaluation. The Handbook Bibliometrics provides a comprehensive introduction to quantifying scientific output in addition to a historical derivation, individual indicators, institutions, application perspectives and data bases. Furthermore, application scenarios, training and qualification on bibliometrics and their implications are considered"--Publisher's website.




Cold War Social Science


Book Description

This book explores how the social sciences became entangled with the global Cold War. While duly recognizing the realities of nation states, national power, and national aspirations, the studies gathered here open up new lines of transnational investigation. Considering developments in a wide array of fields – anthropology, development studies, economics, education, political science, psychology, science studies, and sociology – that involved the movement of people, projects, funding, and ideas across diverse national contexts, this volume pushes scholars to rethink certain fundamental points about how we should understand – and thus how we should study – Cold War social science itself.




The Trajectory of Discovery


Book Description

Explores the forces determining the trajectory of medical progress, bringing together scientific policy, economics, sociology and innovation.




Research Analytics


Book Description

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.




Technoscientific Research


Book Description

Unlike the bulk majority of publications on philosophy of science and research ethics, which are authored by professional philosophers and intended for philosophers, this book has been written by a research practitioner and intended for research practitioners. It is distinctive by its integrative approach to methodological and ethical issues related to research practice, with special emphasis of mathematical modelling and measurement, as well as by attempted application of engineering design methodology to moral decision making. It is also distinctive by more than 200 real-world examples drawn from various domains of science and technology. It is neither a philosophical treaty nor a quick-reference guide. It is intended to encourage young researchers, especially Ph.D. students, to deeper philosophical reflection over research practice. They are not expected to have any philosophical background, but encouraged to consult indicated sources of primary information and academic textbooks containing syntheses of information from primary sources. This book can be a teaching aid for students attending classes aimed at identification of methodological and ethical issues related to technoscientific research, followed by introduction to the methodology of analysing dilemmas arising in this context.




Scientometrics for the Humanities and Social Sciences


Book Description

Scientometrics for the Humanities and Social Sciences is the first ever book on scientometrics that deals with the historical development of both quantitative and qualitative data analysis in scientometric studies. It focuses on its applicability in new and emerging areas of inquiry. This important book presents the inherent potential for data mining and analysis of qualitative data in scientometrics. The author provides select cases of scientometric studies in the humanities and social sciences, explaining their research objectives, sources of data and methodologies. It illustrates how data can be gathered not only from prominent online databases and repositories, but also from journals that are not stored in these databases. With the support of specific examples, the book shows how data on demographic variables can be collected to supplement scientometric data. The book deals with a research methodology which has an increasing applicability not only to the study of science, but also to the study of the disciplines in the humanities and social sciences.




INTEGRATING DIVERSITY, COOPERATION, AND INNOVATION: a framework for modern management


Book Description

When writing this book I aim to accomplish several goals. First, I would like to show that building a cooperative environment for a diverse workforce is a crucial antecedent to any attempts at building innovativeness. Diversity expresses itself in various forms. It may be the fact that men and women may have different creative sensitivities (Chapter 11), or that the employees differ in their views on the importance of various components of the business model (Chapter 3), or that different employee groups or different companies employ different strategies with respect to innovation management (Chapter 7). Being aware of these sources of diversity may be of practical importance for thoughtful managers. Second, the heuristic methods described in Chapters 4, 10, and 11 are well suited for managerial practice, since they are the tools ready to be implemented in everyday work, when the need arises to stimulate employees’ innovativeness. Several hundred original examples provided in these chapters are meant to serve either as direct triggers of creativity (Appendix to Chapter 11) or potentially useful cases to enrich one’s thinking about their problems to be solved (examples of the TRIZ method in Appendix to Chapter 4 and examples of the SCAMPER method in Appendix to Chapter 10). Third, modeling innovation dynamics using game theory (Chapter 7) and quantifying within-organization diversity with methods that are borrowed from community ecology, open novel opportunities for researchers in the area of management (Chapter 3). The existence of team roles creates a natural organizational setting through which plurality of employee views on the main business model of the organization are expressed. Since each team role has a unique view on the importance of particular components of the business model, an informal but very dynamic diversity of business models co-existing in the organization arises. I adopt quantitative concepts and methods from ecology to show how the diversity of team-role views can be assessed. Furthermore, the same method can be used to capture the diversity of views on business models among individual employees, especially at managerial and executive level. In a turbulent business environment an organization’s flexibility may be improved by internal diversity of the ways its business model is implemented. Finally, several topics may be used in the educational context, with very low barriers to entry for the student users. Reciprocity as a mechanism promoting cooperation and building trust (Chapters 2 and 3) is, in my view, a fundamental concept when teaching about organizational behavior. Game theory is useful in strategic management. The heuristic methods mentioned above are key to implementing a very effective approach in creative thinking and innovation management courses.