Page 17 - Becoming Metric Wise
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6     Becoming Metric-Wise


          and related indicators (Egghe, 2006a,b,c; Jin et al., 2007). Indicators play
          also an important role in world rankings of universities, such as the
          Shanghai Academic Ranking of World Universities, the Times Higher
          Education World Universities rankings (in short: THE rankings), the
          Leiden ranking or the Cybermetrics Web Ranking. For more details on
          university rankings, we refer to Chapter 8, Research evaluation.
             As the Web is a large and omnipresent network, it is no surprise that
          the use of network techniques is on the rise (Otte & Rousseau, 2002). Of
          course, we may not forget that citations as well as collaborations create a
          network between scientists, journals, countries and so on. In this global-
          ized, networked world, studies related to all forms of networking, collabo-
          ration and diffusion of ideas gain more and more significance. These huge
          networks need special visualization tools, making visualization a hot sub-
          field of informetrics (Chen, 1999, 2003, 2004; Boyack et al., 2005, 2006;
          van Eck & Waltman, 2007; Garfield, 2009; Klavans & Boyack, 2009; Yang
          et al., 2009). It has turned out that so-called maps of science (Boyack et al.,
          2005), showing the relative positions of scientific fields with respect to each
          other, are remarkably stable. This stability allows to “overlay” publications
          or references produced for a specific purpose against the background of a
          representation of global science (Rafols et al., 2010).
             Managers and colleagues in the field of management science not only
          use informetric data and indicators for research evaluation and planning,
          but use the same techniques in patent and innovation studies (Gao &
          Guan, 2009; Guan & Gao, 2009). In this context one uses the term
          patentometrics. Similarly, innovation and knowledge transfer studies, e.g.,
          between industry, government and academia, the so-called triple helix
          (Etzkowitz & Leydesdorff, 1995), make use of performance metrics
          (Independent Expert Group on Open Innovation and Knowledge
          Transfer, 2014).


          1.3 INSTRUMENTS

          This section explains—at least from a particular point of view—why a
          book like this is necessary. The point we want to make about biblio-
          metrics and informetrics is that one should not be satisfied with artefacts,
          but that one needs real instruments. What is meant by this? In order to
          perform research and research evaluations, instruments are needed. But
          what is an instrument? An instrument can be defined as an artefact plus a
          mental scheme (Vygotski, 1978; Drijvers & Gravemeijer, 2004). An
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