Cassidy R. Sugimoto – författare & böcker

Measuring Research

What Everyone Needs to Know®

Inbunden, Engelska, 2018

797 kr

Skickas inom 5-8 vardagar

Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know® will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.

Measuring Research

What Everyone Needs to Know®

AvCassidy R. Sugimoto,Vincent Larivière

Häftad, Engelska, 2018

194 kr

Skickas inom 5-8 vardagar

Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know® will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.

Measuring Research

What Everyone Needs to Know®

AvVincent Lariviere,Cassidy R. Sugimoto

E-bok

PDF, Engelska, 2017

112 kr

Läs direkt efter köp

Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know® will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.

Measuring Research

What Everyone Needs to Know®

AvVincent Lariviere,Cassidy R. Sugimoto

E-bok

Engelska, 2017

112 kr

Läs direkt efter köp

Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know® will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.

Beyond Bibliometrics

AvCassidy R. Sugimoto,Blaise Cronin

E-bok

Engelska, 2014

832 kr

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A comprehensive, state-of-the-art examination of the changing ways we measure scholarly performance and research impact.

Bibliometrics has moved well beyond the mere tracking of bibliographic citations. The web enables new ways to measure scholarly productivity and impact, making available tools and data that can reveal patterns of intellectual activity and impact that were previously invisible: mentions, acknowledgments, endorsements, downloads, recommendations, blog posts, tweets. This book describes recent theoretical and practical advances in metrics-based research, examining a variety of alternative metrics—or “altmetrics”—while also considering the ethical and cultural consequences of relying on metrics to assess the quality of scholarship.

Once the domain of information scientists and mathematicians, bibliometrics is now a fast-growing, multidisciplinary field that ranges from webometrics to scientometrics to influmetrics. The contributors to Beyond Bibliometrics discuss the changing environment of scholarly publishing, the effects of open access and Web 2.0 on genres of discourse, novel analytic methods, and the emergence of next-generation metrics in a performance-conscious age.

ContributorsMayur Amin, Judit Bar-Ilan, Johann Bauer, Lutz Bornmann, Benjamin F. Bowman, Kevin W. Boyack, Blaise Cronin, Ronald Day, Nicola De Bellis, Jonathan Furner, Yves Gingras, Stefanie Haustein, Edwin Henneken, Peter A. Hook, Judith Kamalski, Richard Klavans, Kayvan Kousha, Michael Kurtz, Mark Largent, Julia Lane, Vincent Larivière, Loet Leydesdorff, Werner Marx, Katherine W. McCain, Margit Palzenberger, Andrew Plume, Jason Priem, Rebecca Rosen, Hermann Schier, Hadas Shema, Cassidy R. Sugimoto, Mike Thelwall, Daril Vilhena, Jevin West, Paul Wouters

Big Data Is Not a Monolith

AvMichael Mattioli,Hamid R. Ekbiam. fl.

E-bok

Engelska, 2016

346 kr

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Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics.

Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies.

The advent of big data methodologies has challenged the theory-driven approach to scientific knowledge in favor of a data-driven one. Social media platforms and self-tracking tools change the way we see ourselves and others. The collection of data by corporations and government threatens privacy while promoting transparency. Meanwhile, politicians, policy makers, and ethicists are ill-prepared to deal with big data''s ramifications. The contributors look at big data''s effect on individuals as it exerts social control through monitoring, mining, and manipulation; big data and society, examining both its empowering and its constraining effects; big data and science, considering issues of data governance, provenance, reuse, and trust; and big data and organizations, discussing data responsibility, “data harm,” and decision making.

ContributorsRyan Abbott, Cristina Alaimo, Kent R. Anderson, Mark Andrejevic, Diane E. Bailey, Mike Bailey, Mark Burdon, Fred H. Cate, Jorge L. Contreras, Simon DeDeo, Hamid R. Ekbia, Allison Goodwell, Jannis Kallinikos, Inna Kouper, M. Lynne Markus, Michael Mattioli, Paul Ohm, Scott Peppet, Beth Plale, Jason Portenoy, Julie Rennecker, Katie Shilton, Dan Sholler, Cassidy R. Sugimoto, Isuru Suriarachchi, Jevin D. West

Beyond Bibliometrics

Harnessing Multidimensional Indicators of Scholarly Impact

AvBlaise Cronin,Cassidy R. Sugimoto

Häftad, Engelska, 2014

1 048 kr

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Equity for Women in Science

Dismantling Systemic Barriers to Advancement

AvCassidy R. Sugimoto,Vincent Larivière

Inbunden, Engelska, 2023

297 kr

Skickas inom 5-8 vardagar

The first large-scale empirical analysis of the gender gap in science, showing how the structure of scientific labor and rewards—publications, citations, funding—systematically obstructs women’s career advancement.If current trends continue, women and men will be equally represented in the field of biology in 2069. In physics, math, and engineering, women should not expect to reach parity for more than a century. The gender gap in science and technology is narrowing, but at a decidedly unimpressive pace. And even if parity is achievable, what about equity?Equity for Women in Science, the first large-scale empirical analysis of the global gender gap in science, provides strong evidence that the structures of scientific production and reward impede women’s career advancement. To make their case, Cassidy R. Sugimoto and Vincent Larivière have conducted scientometric analyses using millions of published papers across disciplines. The data show that women are systematically denied the chief currencies of scientific credit: publications and citations. The rising tide of collaboration only exacerbates disparities, with women unlikely to land coveted leadership positions or gain access to global networks. The findings are unequivocal: when published, men are positioned as key contributors and women are relegated to low-visibility technical roles. The intersecting disparities in labor, reward, and resources contribute to cumulative disadvantages for the advancement of women in science.Alongside their eye-opening analyses, Sugimoto and Larivière offer solutions. The data themselves point the way, showing where existing institutions fall short. A fair and equitable research ecosystem is possible, but the scientific community must first disrupt its own pervasive patterns of gatekeeping.

Theories of Informetrics and Scholarly Communication

AvCassidy R. Sugimoto

Inbunden, Engelska, 2016

1 371 kr

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Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. Yet, researchers and practitioners in this field have lacked clear theories to guide their work. As early as 1981, then doctoral student Blaise Cronin published "The need for a theory of citing" —a call to arms for the fledgling scientometric community to produce foundational theories upon which the work of the field could be based. More than three decades later, the time has come to reach out the field again and ask how they have responded to this call. This book compiles the foundational theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact.

Theories of Informetrics and Scholarly Communication

AvCassidy R. Sugimoto

Häftad, Engelska, 2017

336 kr

Skickas inom 3-6 vardagar

Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. Yet, researchers and practitioners in this field have lacked clear theories to guide their work. As early as 1981, then doctoral student Blaise Cronin published "The need for a theory of citing" —a call to arms for the fledgling scientometric community to produce foundational theories upon which the work of the field could be based. More than three decades later, the time has come to reach out the field again and ask how they have responded to this call. This book compiles the foundational theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact.

Big Data Is Not a Monolith

AvCassidy R. Sugimoto,Hamid R. Ekbiam. fl.

Häftad, Engelska, 2016

290 kr

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Cassidy R. Sugimoto – författare

Measuring Research

Measuring Research

Measuring Research

Measuring Research

Beyond Bibliometrics

Big Data Is Not a Monolith

Beyond Bibliometrics

Equity for Women in Science

Theories of Informetrics and Scholarly Communication

Theories of Informetrics and Scholarly Communication

Big Data Is Not a Monolith

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