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Disclosing and Evaluating Artistic Research

design of an assessment structure. Initially, this approach crystalized in the formation of a “Working Group on Content” (IW—Inhoudelijke Werkgroep)—comprising of representatives from the Flemish Schools of Arts—which met several times to discuss the most suitable method for the assessment of arts & design research output Each Flemish IHAE has a representative in the IW, ensuring that the indicators decided upon reflect the diversity and pluralism of higher art education in Flanders—which covers all artistic disciplines. . Conceiving of “arts & design research

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Measuring and Visualizing Research Collaboration and Productivity

integration and diffusion: Measures and mapping of diversity and coherence Ding Y. Rousseau R. Wolfram D. Measuring scholarly Impact: Methods and Practice 169 190 Berlin Springer Rafols, I., & Leydesdorff, L. (2009). Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects. Journal of the American Society for Information Science and Technology, 60(9), 1823–1835. 10.1002/asi.21086 Rafols I. Leydesdorff L. 2009 Content-based and algorithmic classifications of journals: Perspectives on the

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Visualization of Disciplinary Profiles: Enhanced Science Overlay Maps

technical intelligence, ranging from identification of others pursuing one’s area of interest to identifying complementary strengths for research center development, or such. Figures 2 to 7 map the research outputs of a given organization. One can map other WoS search sets as well. For instance, in a study of the outputs and impacts of an NSF research program on Human & Social Dynamics (HSD), science overlay mapping was useful for those assessing the merits of that program to see the diversity of the publications generated by HSD support. However, it was even more

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Gauging a Firm’s Innovative Performance Using an Integrated Structural Index for Patents

1 Introduction The technological scope of a firm’s patents, as expressed by the number and nature of the classes to which these patents are assigned, is an important element to describe the relation between a company’s technological diversity and its profits ( Chen, Jang, & Wen, 2010 ; Chiu, et al., 2010 ; Olivo et al., 2011 ). Indeed, research suggests that the scope of patents owned by a firm has a strong impact on performance and is, as such, an economically significant variable ( Lerner, 1994 ; Reitzig, 2003 ). As we want to take an international

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Enhancing Navigability: An Algorithm for Constructing Tag Trees

purpose of navigation. 2.2 Methods for Constructing Tag Trees Two aspects are important in developing a tag tree: selecting quality tags as nodes of the hierarchy and inferring reasonable parent-children relationship among the selected tags. An empirical study on complex dynamics of tagging systems ( Halpin, Robu, & Shepherd, 2007 ) has shown that consensus around stable tag distributions and shared vocabularies did exist, even if there was no central controlled vocabulary. It is suggested that the popular tags used by different people were valuable in

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Science Mapping: A Systematic Review of the Literature

index terms, i.e. keywords, is generated to represent the coverage of the dataset ( Figure 5 ). Five semantic types of nodes are annotated in the visualized hierarchy: Figure 5 A hierarchy of index terms derived from Set #14. What : A fundamental phenomenon of a specialty and the object of a study, for example, the intellectual structure or the dynamics of a research field How : Methodologies, procedures, and processes of science mapping, for example, author co-citation analysis, bibliometric mapping, and co-citation analysis Abstraction

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Information Science Roles in the Emerging Field of Data Science

beyond human abilities. Key ideas such as storing instructions (programs) as well as data and estimating computational complexity led to computational theory that blossomed in the middle of the 20 th century into the new field that gave form to academic departments, journals, and professional associations. Computer scientists create or adapt mathematical and statistical algorithms that make high-speed and high-volume data processing practical. Increasingly, computer scientists work with domain experts to model data distributions, patterns, and dynamics using empirical

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A Framework for the Assessment of Research and Its Impacts

, 2012 , p. 15). This is very different from the traditional models, characterized by independent model components, based on simple model behavior, where the sum of properties of individual components characterizes model behavior, conventional wisdom works well, and a well predictable and controllable top-down model seems to be inappropriate to capture the complexity and dynamics involved in the research assessment. Evaluation In this paper evaluation and assessment are used as synonyms. is a complex activity that consists of at least three levels of analysis

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Smart Data for Digital Humanities

the research project “A network framework of cultural history” published in Science and also on Nature Video ( Schich et al., 2014a ; 2014b ). A multidisciplinary research team provided a macroscopic perspective of the cultural history of Europe and North America across 3,000 years, using simple—but large—datasets of the birth and death locations of more than 150,000 notable individuals, which revealed previously undocumented human mobility patterns and cultural attraction dynamics. Incorporating this analyzed data, the 3,000 year, large-scale patterns in

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Evolution of the Socio-cognitive Structure of Knowledge Management (1986–2015): An Author Co-citation Analysis

& Lv, 2014), describing the thematic structure and topical composition of the field ( Fteimi & Lehner, 2016 ; Harman & Koohang, 2005; Ponzi, 2002 ; Sedighi & Jalalimanesh, 2014); discussing ranking systems for KM journals (Bontis & Serenko, 2009; Serenko & Bontis, 2013a ); and a broad diversity of output patterns ( Akhavan et al., 2016 ; Gu, 2004 ; Muzzammil & Asad, 2016 ; Qiu & Lv, 2014 ). According to the aforementioned antecedents, even the most recent bibliometrics papers on KM have ignored the study of its intellectual base, as they have mainly

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