Search (7 results, page 1 of 1)

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Abstract

The debate about access to scientific research raises questions about the current effectiveness of scholarly communication processes. This book explores, from an independent point of view, the current state of the STM publishing market, new publishing technologies and business models as well as the information habit of researchers, the politics of research funders, and the demand for scientific research as a public good. The book also investigates the democratisation of science including how the information needs of knowledge workers outside academia can be embraced in future.

Content

Inhalt: Chapter 1. Background -- Chapter 2. Definitions -- Chapter 3. Aims, Objectives, and Methodology -- Chapter 4. Setting the Scene -- Chapter 5. Information Society -- Chapter 6. Drivers for Change -- Chapter 7 A Dysfunctional STM Scene? -- Chapter 8. Comments on the Dysfunctionality of STM Publishing -- Chapter 9. The Main Stakeholders -- Chapter 10. Search and Discovery -- Chapter 11. Impact of Google -- Chapter 12. Psychological Issues -- Chapter 13. Users of Research Output -- Chapter 14. Underlying Sociological Developments -- Chapter 15. Social Media and Social Networking -- Chapter 16. Forms of Article Delivery -- Chapter 17. Future Communication Trends -- Chapter 18. Academic Knowledge Workers -- Chapter 19. Unaffiliated Knowledge Workers -- Chapter 20. The Professions -- Chapter 21. Small and Medium Enterprises -- Chapter 22. Citizen Scientists -- Chapter 23. Learned Societies -- Chapter 24. Business Models -- Chapter 25. Open Access -- Chapter 26. Political Initiatives -- Chapter 27. Summary and Conclusions -- Chapter 28. Research Questions Addressed

LCSH

Communication in science
Science publishing

Subject

Communication in science
Science publishing

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Classification

303.48/33 22

DDC

303.48/33 22

Footnote

In the authors' view, the primary means to more widespread acceptance of social informatics is to integrate it with the more traditionally technical curricula of ICT oriented students in computer science and related fields, and this is the focus of Chapter 5. Here the book delivers on its promise of providing a clear framework for both understanding and teaching social informatics. The goal is not simply to learn how to build systems, but to learn how to build systems that account for the context in which they are used. The authors prescribe field experience problem-driven learning techniques embedded in the needs of particular organizations, and a critical, reflexive orientation toward ICT design and construction. In a chapter endnote, the authors mention that a socia informatics perspective would also be useful to students in other fields such as communication and education, but that space limitations required a focus on computer science. Though an understandable choice, if the goal is to convince those outside the field of the value of a social informatics perspective, it would seem natural to include management or economics curricula as fertile ground to analyze some of the tangible effects of a failure to account for the social context of system implementations. Chapter 6 is something of an outreach manifesto, a treatise on communicating social informatics research to professional and research communities, and an explicit call for social informatics researchers "to shoulder the responsibility for communicating the core of social informatics . . . to ICT professionals and other research communities" (pp. 106-107). The authors are not shy about framing social informatics less as a research field and more as an up-and-coming competitor in the marketplace of ICT-oriented ideas; achieving more widespread acceptance of social informatics is presented almost as a sales and marketing challenge, the goal being "getting to yes" in the minds of ICT professionals. It is an effective presentation strategy, but one that comes with a cost.

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Date

22. 1.2017 17:12:50

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Abstract

Representation in Scientific Practice, published by the MIT Press in 1990, helped coalesce a long-standing interest in scientific visualization among historians, philosophers, and sociologists of science and remains a touchstone for current investigations in science and technology studies. This volume revisits the topic, taking into account both the changing conceptual landscape of STS and the emergence of new imaging technologies in scientific practice. It offers cutting-edge research on a broad array of fields that study information as well as short reflections on the evolution of the field by leading scholars, including some of the contributors to the 1990 volume. The essays consider the ways in which viewing experiences are crafted in the digital era; the embodied nature of work with digital technologies; the constitutive role of materials and technologies -- from chalkboards to brain scans -- in the production of new scientific knowledge; the metaphors and images mobilized by communities of practice; and the status and significance of scientific imagery in professional and popular culture. ContributorsMorana Alac, Michael Barany, Anne Beaulieu, Annamaria Carusi, Catelijne Coopmans, Lorraine Daston, Sarah de Rijcke, Joseph Dumit, Emma Frow, Yann Giraud, Aud Sissel Hoel, Martin Kemp, Bruno Latour, John Law, Michael Lynch, Donald MacKenzie, Cyrus Mody, Natasha Myers, Rachel Prentice, Arie Rip, Martin Ruivenkamp, Lucy Suchman, Janet Vertesi, Steve Woolgar

LCSH

Science / Methodology

Subject

Science / Methodology

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Abstract

"Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.

RSWK

Forschung / Datenverarbeitung / Informationssystem / Wissenschaft / E-Science

Subject

Forschung / Datenverarbeitung / Informationssystem / Wissenschaft / E-Science

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Content

Inhalt: Scholars and scripts, spoors and scores / Blaise CroninHistory and evolution of (biblio)metrics / Nicola De Bellis -- The citation : from culture to infrastructure / Paul Wouters -- The data it is me! / Ronald E. Day -- The ethics of evaluative bibliometrics / Jonathan Furner -- Criteria for evaluating indicators / Yves Gingras -- Obliteration by incorporation / Katherine W. McCain -- A network approach to scholarly evaluation / Jevin D. West and Daril A. Vilhena -- Science visualization and discursive knowledge / Loet Leydesdorff -- Measuring interdisciplinarity / Vincent Larivière and Yves Gingras -- Bibliometric standards for evaluating research institutes in the natural sciences / Lutz Bornmann, Benjamin E. Bowman, Jonathan Bauer, Werner Marx, Hermann Schier and Margit Palzenberger -- Identifying and quantifying research strengths using market segmentation / Kevin W. Boyack and Richard Klavans -- Finding and recommending scholarly articles / Michael J. Kurtz and Edwin A. Henneken -- Altmetrics / Jason Priem -- Web impact measures for research assessment / Kayvan Kousha and Mike Thelwall -- Bibliographic references in Web 2.0 / Judit Bar-Illan, Hadas Shema and Mike Thelwall -- Readership metrics / Stefanie Haustein -- Evaluating the work of judges / Peter Hook -- Academic genealogy / Cassidy R. Sugimoto -- A publishing perspective on bibliometrics / Judith Kamalski, Andrew Plume and Mayur Amin -- Science metrics and science policy / Julia Lane, Mark Largent and Rebecca Rosen.

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LCSH

Information science / Examinations / Study guides

Subject

Information science / Examinations / Study guides