Modelling the Structure and Dynamics of Science Using Books

Katy Börner; Michael Ginda; Andrea Scharnhorst

Modelling the Structure and Dynamics of Science Using Books

Katy Börner, Michael Ginda, Andrea Scharnhorst

DANS-KNAW

Onderzoeksoutput: Hoofdstuk in boek/boekdeel › Hoofdstuk › Wetenschappelijk › peer review

Samenvatting

Scientific research is a major driving force in a knowledge based economy. Income, health and wellbeing depend on scientific progress. The better we understand the inner workings of the scientific enterprise, the better we can prompt, manage, steer, and utilize scientific progress. Diverse indicators and approaches exist to evaluate and monitor research activities, from calculating the reputation of a researcher, institution, or country to analyzing and visualizing global brain circulation. However, there are very few predictive models of science that are used by key decision makers in academia, industry, or government interested to improve the quality and impact of scholarly efforts. We present a novel 'bibliographic bibliometric' analysis which we apply to a large collection of books relevant for the modelling of science. We explain the data collection together with the results of the data analyses and visualizations. In the final section we discuss how the analysis of books that describe different modelling approaches can inform the design of new models of science.

Originele taal-2	Engels
Titel	Theories of Informetrics and Scholarly Communication
Redacteuren	Cassidy R. Sugimoto
Uitgeverij	de Gruyter
Pagina's	304-334
Aantal pagina's	38
Status	Gepubliceerd - 2016

Toegang tot document

Vingerafdruk Duik in de onderzoeksthema's van 'Modelling the Structure and Dynamics of Science Using Books'. Samen vormen ze een unieke vingerafdruk.

1 Preprint

Modelling the Structure and Dynamics of Science Using Books
Ginda, M., Scharnhorst, A. & Borner, K., 11 mrt 2015, blz. http://arxiv.org/abs/1503.03287.
Onderzoeksoutput: Working paper/discussiepaper › Preprint › Wetenschappelijk

Bestand

Citeer dit

@inbook{45803cbc19454b7b97948140b9778554,

title = "Modelling the Structure and Dynamics of Science Using Books",

abstract = "Scientific research is a major driving force in a knowledge based economy. Income, health and wellbeing depend on scientific progress. The better we understand the inner workings of the scientific enterprise, the better we can prompt, manage, steer, and utilize scientific progress. Diverse indicators and approaches exist to evaluate and monitor research activities, from calculating the reputation of a researcher, institution, or country to analyzing and visualizing global brain circulation. However, there are very few predictive models of science that are used by key decision makers in academia, industry, or government interested to improve the quality and impact of scholarly efforts. We present a novel 'bibliographic bibliometric' analysis which we apply to a large collection of books relevant for the modelling of science. We explain the data collection together with the results of the data analyses and visualizations. In the final section we discuss how the analysis of books that describe different modelling approaches can inform the design of new models of science.",

author = "Katy B{\"o}rner and Michael Ginda and Andrea Scharnhorst",

year = "2016",

language = "English",

pages = "304--334",

editor = "Sugimoto, {Cassidy R. }",

booktitle = "Theories of Informetrics and Scholarly Communication",

publisher = "de Gruyter",

address = "Germany",

}

TY - CHAP

T1 - Modelling the Structure and Dynamics of Science Using Books

AU - Börner, Katy

AU - Ginda, Michael

AU - Scharnhorst, Andrea

PY - 2016

Y1 - 2016

N2 - Scientific research is a major driving force in a knowledge based economy. Income, health and wellbeing depend on scientific progress. The better we understand the inner workings of the scientific enterprise, the better we can prompt, manage, steer, and utilize scientific progress. Diverse indicators and approaches exist to evaluate and monitor research activities, from calculating the reputation of a researcher, institution, or country to analyzing and visualizing global brain circulation. However, there are very few predictive models of science that are used by key decision makers in academia, industry, or government interested to improve the quality and impact of scholarly efforts. We present a novel 'bibliographic bibliometric' analysis which we apply to a large collection of books relevant for the modelling of science. We explain the data collection together with the results of the data analyses and visualizations. In the final section we discuss how the analysis of books that describe different modelling approaches can inform the design of new models of science.

AB - Scientific research is a major driving force in a knowledge based economy. Income, health and wellbeing depend on scientific progress. The better we understand the inner workings of the scientific enterprise, the better we can prompt, manage, steer, and utilize scientific progress. Diverse indicators and approaches exist to evaluate and monitor research activities, from calculating the reputation of a researcher, institution, or country to analyzing and visualizing global brain circulation. However, there are very few predictive models of science that are used by key decision makers in academia, industry, or government interested to improve the quality and impact of scholarly efforts. We present a novel 'bibliographic bibliometric' analysis which we apply to a large collection of books relevant for the modelling of science. We explain the data collection together with the results of the data analyses and visualizations. In the final section we discuss how the analysis of books that describe different modelling approaches can inform the design of new models of science.

UR - http://cns.slis.indiana.edu/2015-ModSci.html

M3 - Chapter

SP - 304

EP - 334

BT - Theories of Informetrics and Scholarly Communication

A2 - Sugimoto, Cassidy R.

PB - de Gruyter

ER -