Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
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paper_title: Disciplinary, Multidisciplinary, Interdisciplinary - Concepts and Indicators -

paper_content:

The present invention is directed to compounds of Formula (I) or pharmaceutically acceptable salts thereof; wherein X is hydrogen, Cl, Br, I, NO2, NR3R4 or -L-Ch; Y is hydrogen, -CH2OR5, -CH2NCH3R1, NO2, NR3R4 or -L-Ch; Y' is hydrogen, -CH2OH5, -CH2NCH3R1, NO2, NR3R4 OR -L-Ch; provided that at least one of the Y or Y' is -CH2NCH3R1; Z is S, O, NR6 CR7R8, C(O) or -C(-CR7R8)-; A is hydrogen, Cl, I, Br or -L-Ch; R1 is hydrogen, C1-C5 alkyl, C3-C8 cycloalkyl C1-5 alkylcarbonyl, (C3-C8 cycloalkyl) carbonyl, pnenyl, benzyl, naphthyl, naphthylmethyl or L-Ch; R2 is hydrogen or methyl; and R3-R8 are as defined herein. Radiolabeled compounds of the invention are useful as selective serotonin transporter (SERT) imaging agents for single photon emission tomography (SPECT). As such the compounds are useful for studying the underlying pharmacology and interaction of specific serotinin reuptake site inhibitors (SSRI), commonly used antidepressants, at the SERT sites in the human brain. Certain compounds of the invention, including IDAM (5-iodo-2[[2-2-[(dimethylamino)methyl]phenyl]thio]benzylalcohol) display affinity to SERT sites and show more high selectively for SERT over NET and DAT.
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paper_title: The potential of transdisciplinary research for sustaining and extending linkages between the health and social sciences

paper_content:

The last decade of the twentieth century is witnessing a profusion of projects drawing together social and health scientists to study and recommend solutions for a wide range of health problems. The process--practices in both developed and developing countries--is usually called multidisciplinary or interdisciplinary research. Its historical precedents are briefly reviewed in this paper along with the types of problems addressed. From a review and discussion of a sample of projects selected from two major proponents of this approach to research, the Social and Economic Research Component of the UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases and the Applied Diarrheal Disease Research Project, conclusions are drawn about the nature of contributions from such efforts--very useful for short-term problem solving, less so for longer-term programmatic changes, especially beyond the health sector, and even more limited in impact on theory building for coping with the changing human condition. The recognition of such limitations is now widespread in the social and natural sciences beyond the health sector, in population, ecology, and the humanities. Following these observations, I argue for a new approach to transcend the disciplinary bounds inherent in multi-and interdisciplinary research. A transdisciplinary approach can provide a systematic, comprehensive theoretical framework for the definition and analysis of the social, economic, political, environmental, and institutional factors influencing human health and well-being. The academic and career challenges for such researchers, while considerable, may be overcome since there is now flexibility in research-supporting organizations to encourage new ideas in international health, such as that of essential national health research.
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paper_title: Evaluating transdisciplinary science

paper_content:

The past two decades have seen a growing interest and investment in transdisciplinary research teams and centers. The Transdisciplinary Tobacco Use Research Centers (TTURCs) exemplify large-scale scientific collaborations undertaken for the explicit purpose of promoting novel conceptual and methodological integrations bridging two or more fields. Until recently, few efforts have been made to evaluate the collaborative processes, and the scientific and public policy outcomes, of such centers. This manuscript offers a conceptual framework for understanding and evaluating transdisciplinary science and describes two ongoing evaluation studies covering the initial phase of the TTURC initiative. The methods and measures used by these studies are described, and early evaluative findings from the first 4 years of the initiative are presented. These data reveal progress toward intellectual integration within and between several of the TTURCs, and cumulative changes in the collaborative behaviors and values of participants over the course of the initiative. The data also suggest that different centers may follow alternative pathways toward transdisciplinary integration and highlight certain environmental, organizational, and institutional factors that influence each center's readiness for collaboration. Methodological challenges posed by the complexities of evaluating large-scale scientific collaborations (including those that specifically aspire toward transdisciplinary integrations spanning multiple fields) are discussed. Finally, new directions for future evaluative studies of transdisciplinary scientific collaboration, both within and beyond the field of tobacco science, are described.
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paper_title: The Sage Handbook Of Rhetorical Studies

paper_content:

Thank you for reading the sage handbook of rhetorical studies. As you may know, people have look numerous times for their favorite readings like this the sage handbook of rhetorical studies, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some infectious bugs inside their laptop. the sage handbook of rhetorical studies is available in our book collection an online access to it is set as public so you can get it instantly. Our digital library spans in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the the sage handbook of rhetorical studies is universally compatible with any devices to read.
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paper_title: General Systems Theory---The Skeleton of Science

paper_content:

In recent years increasing need has been felt for a body of systematic theoretical constructs which will discuss the general relationships of the empirical world. This is the quest of General Systems Theory. It does not seek, of course, to establish a single, self-contained “general theory of practically everything” which will replace all the special theories of particular disciplines. Such a theory would be almost without content, for we always pay for generality by sacrificing content, and all we can say about practically everything is almost nothing. Somewhere however between the specific that has no meaning and the general that has no content there must be, for each purpose and at each level of abstraction, an optimum degree of generality. It is the contention of the General Systems Theorists that this optimum degree of generality in theory is not always reached by the particular sciences.
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paper_title: Measuring researcher interdisciplinarity

paper_content:

We offer two metrics that together help gauge how interdisciplinary a body of research is. Both draw upon Web of Knowledge Subject Categories (SCs) as key units of analysis. We have assembled two substantial Web of Knowledge samples from which to determine how closely individual SCs relate to each other. “Integration” measures the extent to which a research article cites diverse SCs. “Specialization” considers the spread of SCs in which the body of research (e.g., the work of a given author in a specified time period) is published. Pilot results for a sample of researchers show a surprising degree of interdisciplinarity.
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paper_title: Crossing Boundaries: Knowledge, Disciplinarities, and Interdisciplinarities

paper_content:

Boundary work studies examine how boundaries of knowledge are formed, maintained, broken down and reconfigured. This text investigates the claims, activities and institutional structures that define and legitimate interdisciplinary practices.
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paper_title: Interdisciplinary research: meaning, metrics and nurture

paper_content:

Recognizing prior research and reflection, we offer a definition of interdisciplinary research (IDR) that focuses on integration of concepts, techniques and/or data. We note that this need not entail teaming. Building upon this definition, we discuss its implications for accurate measurement. We then synthesize contextual and process factors expected to foster knowledge integration. These suggest a rich set of research questions concerning the implications for successful IDR of actions by universities, funding organizations, professional associations, and the science media, including journal editors. We seek to engage social scientists who study research practices, organizations, and policy in consideration of interdisciplinary research processes and their evaluation. Copyright , Beech Tree Publishing.
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paper_title: Is science becoming more interdisciplinary? Measuring and mapping six research fields over time

paper_content:

In the last two decades there have been studies claiming that science is becoming ever more interdisciplinary. However, the evidence has been anecdotal or partial. Here we investigate how the degree of interdisciplinarity has changed between 1975 and 2005 over six research domains. To do so, we compute well-established bibliometric indicators alongside a new index of interdisciplinarity (Integration score, aka Rao-Stirling diversity) and a science mapping visualization method. The results attest to notable changes in research practices over this 30 year period, namely major increases in number of cited disciplines and references per article (both show about 50% growth), and co-authors per article (about 75% growth). However, the new index of interdisciplinarity only shows a modest increase (mostly around 5% growth). Science maps hint that this is because the distribution of citations of an article remains mainly within neighboring disciplinary areas. These findings suggest that science is indeed becoming more interdisciplinary, but in small steps — drawing mainly from neighboring fields and only modestly increasing the connections to distant cognitive areas. The combination of metrics and overlay science maps provides general benchmarks for future studies of interdisciplinary research characteristics.
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paper_title: Measuring collaboration and transdisciplinary integration in team science.

paper_content:

PURPOSE ::: As the science of team science evolves, the development of measures that assess important processes related to working in transdisciplinary teams is critical. Therefore, the purpose of this paper is to present the psychometric properties of scales measuring collaborative processes and transdisciplinary integration. ::: ::: ::: METHODS ::: Two hundred-sixteen researchers and research staff participating in the Transdisciplinary Tobacco Use Research Centers (TTURC) Initiative completed the TTURC researcher survey. Confirmatory-factor analyses were used to verify the hypothesized factor structures. Descriptive data pertinent to these scales and their associations with other constructs were included to further examine the properties of the scales. ::: ::: ::: RESULTS ::: Overall, the hypothesized-factor structures, with some minor modifications, were validated. A total of four scales were developed, three to assess collaborative processes (satisfaction with the collaboration, impact of collaboration, trust and respect) and one to assess transdisciplinary integration. All scales were found to have adequate internal consistency (i.e., Cronbach alpha's were all >0.70); were correlated with intermediate markers of collaborations (e.g., the collaboration and transdisciplinary-integration scales were positively associated with the perception of a center's making good progress in creating new methods, new science and models, and new interventions); and showed some ability to detect group differences. ::: ::: ::: CONCLUSIONS ::: This paper provides valid tools that can be utilized to examine the underlying processes of team science--an important step toward advancing the science of team science.
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paper_title: Evaluating transdisciplinary science

paper_content:

The past two decades have seen a growing interest and investment in transdisciplinary research teams and centers. The Transdisciplinary Tobacco Use Research Centers (TTURCs) exemplify large-scale scientific collaborations undertaken for the explicit purpose of promoting novel conceptual and methodological integrations bridging two or more fields. Until recently, few efforts have been made to evaluate the collaborative processes, and the scientific and public policy outcomes, of such centers. This manuscript offers a conceptual framework for understanding and evaluating transdisciplinary science and describes two ongoing evaluation studies covering the initial phase of the TTURC initiative. The methods and measures used by these studies are described, and early evaluative findings from the first 4 years of the initiative are presented. These data reveal progress toward intellectual integration within and between several of the TTURCs, and cumulative changes in the collaborative behaviors and values of participants over the course of the initiative. The data also suggest that different centers may follow alternative pathways toward transdisciplinary integration and highlight certain environmental, organizational, and institutional factors that influence each center's readiness for collaboration. Methodological challenges posed by the complexities of evaluating large-scale scientific collaborations (including those that specifically aspire toward transdisciplinary integrations spanning multiple fields) are discussed. Finally, new directions for future evaluative studies of transdisciplinary scientific collaboration, both within and beyond the field of tobacco science, are described.
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paper_title: Gauging the transdisciplinary qualities and outcomes of doctoral training programs

paper_content:

A key assumption underlying recent investments toward establishing transdisciplinary research centers and training programs is that cross-disciplinary research and training provide a stronger basis for achieving scientific and societal advances than unidisciplinary programs. It is necessary to develop reproducibleand reliable criteria for identifying the distinctive qualities of cross-disciplinary research and training programs, especially in the field of urban and regional planning. The current study provides an exploratory first step toward that goal. A composite scale designed to measure the transdisciplinary qualities of doctoral dissertations as an important product of one's intellectual development and graduate training was constructed and administered in the present study. Dissertations completed over a twenty-five-year period by Ph.D. candidates within an interdisciplinary doctoral training program were rated by two independent reviewers across multiple dimensions of transdisciplinary integration ...
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paper_title: Toward transdisciplinary research: historical and contemporary perspectives.

paper_content:

Over the past two decades a variety of national and international efforts has sought to bring together health and social scientists to address complex health issues. This paper reviews how the notion of transdisciplinary research has emerged; discusses research programs that have successfully traversed discipline boundaries in sustained fashion; considers facilitating and constraining factors that have emerged from the analyses of this process; and suggests next steps for conceptualizing, organizing, and assessing transdisciplinary research based on the notion of heterarchy.
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paper_title: Transdisciplinary training: key components and prerequisites for success.

paper_content:

The training of transdisciplinary science is distinct in its intention to develop scientists who synthesize the theoretical and methodologic approaches of different disciplines. As a result, transdisciplinary scientists are better prepared to address the complexities of health problems. The most common form of transdisciplinary training is the multi-mentor apprenticeship model, with each mentor training from his or her own discipline. The transdisciplinary trainee is faced with many challenges, including learning the languages and cultures of different disciplines along with learning how to navigate within and between disciplines. The trainee also confronts unique career development risks. The climb up the academic ladder can be slower, rougher, and less linear than that of the trainee's single-disciplinary-trained peers. A number of factors can help the trainee in overcoming the challenges: being able to develop a core set of values and behaviors that are essential for transdisciplinary scientists; having the commitment and support of training institutions, training directors, and mentors; and having training structures and processes in place to prevent the training and trainee from naturally regressing back to familiar single-disciplinary approaches. There is relatively little known empirically about transdisciplinary training. Future efforts can focus on developing a better understanding of the unique characteristics of transdisciplinary training, identifying the effective elements that relate to training outcomes, defining the critical outcome metrics at different time points during and following training, and creating toolkits to help with training processes.
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paper_title: The ecology of team science: understanding contextual influences on transdisciplinary collaboration.

paper_content:

Increased public and private investments in large-scale team science initiatives over the past two decades have underscored the need to better understand how contextual factors influence the effectiveness of transdisciplinary scientific collaboration. Toward that goal, the findings from four distinct areas of research on team performance and collaboration are reviewed: (1) social psychological and management research on the effectiveness of teams in organizational and institutional settings; (2) studies of cyber-infrastructures (i.e., computer-based infrastructures) designed to support transdisciplinary collaboration across remote research sites; (3) investigations of community-based coalitions for health promotion; and (4) studies focusing directly on the antecedents, processes, and outcomes of scientific collaboration within transdisciplinary research centers and training programs. The empirical literature within these four domains reveals several contextual circumstances that either facilitate or hinder team performance and collaboration. A typology of contextual influences on transdisciplinary collaboration is proposed as a basis for deriving practical guidelines for designing, managing, and evaluating successful team science initiatives.
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paper_title: Enhancing transdisciplinary research through collaborative leadership.

paper_content:

Transcending the well-established and familiar boundaries of disciplinary silos poses challenges for even the most interpersonally competent scientists. This paper explores the challenges inherent in leading transdisciplinary projects, detailing the critical roles that leaders play in shepherding transdisciplinary scientific endeavors. Three types of leadership tasks are considered: cognitive, structural, and processual. Distinctions are made between leading small, co-located projects and large, dispersed ones. Finally, social-network analysis is proposed as a useful tool for conducting research on leadership, and, in particular, on the role of brokers, on complex transdisciplinary teams.
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paper_title: Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index

paper_content:

The two Journal Citation Reports of the Science Citation Index 2004 and the Social Science Citation Index 2004 were combined in order to analyze and map journals and specialties at the edges and in the overlap between the two databases. For journals which belong to the overlap (e.g., Scientometrics), the merger mainly enriches our insight into the structure which can be obtained from the two databases separately; but in the case of scientific journals which are more marginal in either database, the combination can provide a new perspective on the position and function of these journals (e.g., Environment and Planning B-Planning and Design). The combined database additionally enables us to map citation environments in terms of the various specialties comprehensively. Using the vector-space model, visualizations are provided for specialties that are parts of the overlap (information science, science & technology studies). On the basis of the resulting visualizations, "betweenness"--a measure from social network analysis--is suggested as an indicator for measuring the interdisciplinarity of journals.
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paper_title: Measuring researcher interdisciplinarity

paper_content:

We offer two metrics that together help gauge how interdisciplinary a body of research is. Both draw upon Web of Knowledge Subject Categories (SCs) as key units of analysis. We have assembled two substantial Web of Knowledge samples from which to determine how closely individual SCs relate to each other. “Integration” measures the extent to which a research article cites diverse SCs. “Specialization” considers the spread of SCs in which the body of research (e.g., the work of a given author in a specified time period) is published. Pilot results for a sample of researchers show a surprising degree of interdisciplinarity.
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paper_title: Impact measures of interdisciplinary research in physics

paper_content:

In an evaluation of physics research programs in the Netherlands, held in 1996, assessments of research by expert panels were supplemented with bibliometric analysis. This latter analysis included the calculation of several bibliometric indicators, among which some taking journal impact measures as a baseline. Final outcomes of this evaluation provided an opportunity to re-examine the results of this assessment from the perspective of the degree of interdisciplinarity of programs involved. In this paper we discuss results of this latter analysis, in particular with respect to the relation between several citation based indicators and interdisciplinary research in Dutch physics.
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paper_title: An approach to interdisciplinarity through bibliometric indicators

paper_content:

Interdisciplinarity has become of increasing interest in science in the past few years. Thispaper is a case study in the area of Chemistry, in which a series of different bibliometric indicatorsfor measuring interdisciplinarity are presented. The following indicators are analysed: a) ISI multiclassificationof journals in categories, b) patterns of citations and references outside category andc) multi-assignation of documents in Chemical Abstracts sections. Convergence between thedifferent indicators is studied. Depending on the size of the unit analysed (area, category orjournal) the most appropriate indicators are determined.
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paper_title: Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology

paper_content:

This paper first describes the recent development that scientists and engineers of many disciplines, countries, and institutions increasingly engage in nanoscale research at breathtaking speed. By co-author analysis of over 600 papers published in “nano journals” in 2002 and 2003, I investigate if this apparent concurrence is accompanied by new forms and degrees of multi- and interdisciplinarity as well as of institutional and geographic research collaboration. Based on a new visualization method, patterns of research collaboration are analyzed and compared with those of classical disciplinary research. I argue that current nanoscale research reveals no particular patterns and degrees of interdisciplinarity and that its apparent multidisciplinarity consists of different largely mono-disciplinary fields which are rather unrelated to each other and which hardly share more than the prefix “nano”.
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paper_title: Relativity of citation performance and excellence measures: From cross-field to cross-scale effects of field-normalisation

paper_content:

As citation practices strongly depend on fields, field normalisation is recognised as necessary for fair comparison of figures in bibliometrics and evaluation studies. However fields may be defined at various levels, from small research areas to broad academic disciplines, and thus normalisation values are expected to vary. The aim of this project was to test the stability of citation ratings of articles as the level of observation - hence the basis of normalisation - changes. A conventional classification of science based on ISI subject categories and their aggregates at various scales was used, namely at five levels: all science, large academic discipline, sub-discipline, speciality and journal. Among various normalisation methods, we selected a simple ranking method (quantiles), based on the citation score of the article in each particular aggregate (journal, speciality, etc.) it belonged to at each level. The study was conducted on articles in the full SCI range, for publication year 1998 with a four-year citation window. Stability is measured in three ways: overall comparison of article rankings; individual trajectory of articles; survival of the top-cited class across levels. Overall rank correlations on the observed empirical structure are benchmarked against two fictitious sets that keep the same embedded structure of articles but reassign citation scores either in a totally ordered or in a totally random distribution. These sets act respectively as a 'worst case' and 'best case' for the stability of citation ratings. The results show that: (a) the average citation rankings of articles substantially change with the level of observation (b) observation at the journal level is very particular, and the results differ greatly in all test circumstances from all the other levels of observation (c) the lack of cross-scale stability is confirmed when looking at the distribution of individual trajectories of articles across the levels; (d) when considering the top-cited fractions, a standard measure of excellence, it is found that the contents of the 'top-cited' set is completely dependent on the level of observation. The instability of impact measures should not be interpreted in terms of lack of robustness but rather as the co-existence of various perspectives each having their own form of legitimacy. A follow-up study will focus on the micro levels of observation and will be based on a structure built around bibliometric groupings rather than conventional groupings based on ISI subject categories.
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paper_title: Mapping knowledge domains: Characterizing PNAS

paper_content:

A review of data mining and analysis techniques that can be used for the mapping of knowledge domains is given. Literature mapping techniques can be based on authors, documents, journals, words, and/or indicators. Most mapping questions are related to research assessment or to the structure and dynamics of disciplines or networks. Several mapping techniques are demonstrated on a data set comprising 20 years of papers published in PNAS. Data from a variety of sources are merged to provide unique indicators of the domain bounded by PNAS. By using funding source information and citation counts, it is shown that, on an aggregate basis, papers funded jointly by the U.S. Public Health Service (which includes the National Institutes of Health) and non-U.S. government sources outperform papers funded by other sources, including by the U.S. Public Health Service alone. Grant data from the National Institute on Aging show that, on average, papers from large grants are cited more than those from small grants, with performance increasing with grant amount. A map of the highest performing papers over the 20-year period was generated by using citation analysis. Changes and trends in the subjects of highest impact within the PNAS domain are described. Interactions between topics over the most recent 5-year period are also detailed.
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paper_title: Disciplinary, Multidisciplinary, Interdisciplinary - Concepts and Indicators -

paper_content:

The present invention is directed to compounds of Formula (I) or pharmaceutically acceptable salts thereof; wherein X is hydrogen, Cl, Br, I, NO2, NR3R4 or -L-Ch; Y is hydrogen, -CH2OR5, -CH2NCH3R1, NO2, NR3R4 or -L-Ch; Y' is hydrogen, -CH2OH5, -CH2NCH3R1, NO2, NR3R4 OR -L-Ch; provided that at least one of the Y or Y' is -CH2NCH3R1; Z is S, O, NR6 CR7R8, C(O) or -C(-CR7R8)-; A is hydrogen, Cl, I, Br or -L-Ch; R1 is hydrogen, C1-C5 alkyl, C3-C8 cycloalkyl C1-5 alkylcarbonyl, (C3-C8 cycloalkyl) carbonyl, pnenyl, benzyl, naphthyl, naphthylmethyl or L-Ch; R2 is hydrogen or methyl; and R3-R8 are as defined herein. Radiolabeled compounds of the invention are useful as selective serotonin transporter (SERT) imaging agents for single photon emission tomography (SPECT). As such the compounds are useful for studying the underlying pharmacology and interaction of specific serotinin reuptake site inhibitors (SSRI), commonly used antidepressants, at the SERT sites in the human brain. Certain compounds of the invention, including IDAM (5-iodo-2[[2-2-[(dimethylamino)methyl]phenyl]thio]benzylalcohol) display affinity to SERT sites and show more high selectively for SERT over NET and DAT.
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paper_title: Betweenness Centrality” as an Indicator of the “Interdisciplinarity” of Scientific Journals

paper_content:

In addition to science citation indicators of journals like impact and immediacy, social network analysis provides a set of centrality measures like degree, betweenness, and closeness centrality. These measures are first analyzed for the entire set of 7,379 journals included in the Journal Citation Reports of the Science Citation Index and the Social Sciences Citation Index 2004 (Thomson ISI, Philadelphia, PA), and then also in relation to local citation environments that can be considered as proxies of specialties and disciplines. Betweenness centrality is shown to be an indicator of the interdisciplinarity of journals, but only in local citation environments and after normalization; otherwise, the influence of degree centrality (size) overshadows the betweenness-centrality measure. The indicator is applied to a variety of citation environments, including policy-relevant ones like biotechnology and nanotechnology. The values of the indicator remain sensitive to the delineations of the set because of the indicator's local character. Maps showing interdisciplinarity of journals in terms of betweenness centrality can be drawn using information about journal citation environments, which is available online.
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paper_title: Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index

paper_content:

The two Journal Citation Reports of the Science Citation Index 2004 and the Social Science Citation Index 2004 were combined in order to analyze and map journals and specialties at the edges and in the overlap between the two databases. For journals which belong to the overlap (e.g., Scientometrics), the merger mainly enriches our insight into the structure which can be obtained from the two databases separately; but in the case of scientific journals which are more marginal in either database, the combination can provide a new perspective on the position and function of these journals (e.g., Environment and Planning B-Planning and Design). The combined database additionally enables us to map citation environments in terms of the various specialties comprehensively. Using the vector-space model, visualizations are provided for specialties that are parts of the overlap (information science, science & technology studies). On the basis of the resulting visualizations, "betweenness"--a measure from social network analysis--is suggested as an indicator for measuring the interdisciplinarity of journals.
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paper_title: Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments

paper_content:

The dynamic analysis of structural change in the organization of the sciences requires, methodologically, the integration of multivariate and time-series analysis. Structural change—for instance, interdisciplinary development—is often an objective of government interventions. Recent developments in multidimensional scaling (MDS) enable us to distinguish the stress originating in each time-slice from the stress originating from the sequencing of time-slices, and thus to locally optimize the trade-offs between these two sources of variance in the animation. Furthermore, visualization programs like Pajek and Visone allow us to show not only the positions of the nodes, but also their relational attributes such as betweenness centrality. Betweenness centrality in the vector space can be considered as an indicator of interdisciplinarity. Using this indicator, the dynamics of the citation-impact environments of the journals Cognitive Science, Social Networks, and Nanotechnology are animated and assessed in terms of interdisciplinarity among the disciplines involved. © 2008 Wiley Periodicals, Inc.
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paper_title: Measurement of Central Aspects of Scientific Research: Performance, Interdisciplinarity, Structure.

paper_content:

This article presents an overview of measuring science based on a bibliometric methodology. The 2 main lines of this methodology are discussed. First, the measurement of research performance is addressed, including aspects such as interdisciplinarity, collaboration, and knowledge users. It is demonstrated that advanced bibliometric methods are an indispensable element next to peer review in research evaluation procedures, particularly at the level of research groups, university departments, and institutes. Problems involved in the application of bibliometric analysis in the social sciences are discussed. Next, an introduction to the mapping of science is presented, focusing on basic concepts and issues of practical application of science maps. These maps are unique instruments to discover patterns in the structure of scientific fields, to identify processes of knowledge dissemination, and to visualize the dynamics of scientific developments. Their potential for unraveling interdisciplinary developments an...
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paper_title: Mapping knowledge domains: Characterizing PNAS

paper_content:

A review of data mining and analysis techniques that can be used for the mapping of knowledge domains is given. Literature mapping techniques can be based on authors, documents, journals, words, and/or indicators. Most mapping questions are related to research assessment or to the structure and dynamics of disciplines or networks. Several mapping techniques are demonstrated on a data set comprising 20 years of papers published in PNAS. Data from a variety of sources are merged to provide unique indicators of the domain bounded by PNAS. By using funding source information and citation counts, it is shown that, on an aggregate basis, papers funded jointly by the U.S. Public Health Service (which includes the National Institutes of Health) and non-U.S. government sources outperform papers funded by other sources, including by the U.S. Public Health Service alone. Grant data from the National Institute on Aging show that, on average, papers from large grants are cited more than those from small grants, with performance increasing with grant amount. A map of the highest performing papers over the 20-year period was generated by using citation analysis. Changes and trends in the subjects of highest impact within the PNAS domain are described. Interactions between topics over the most recent 5-year period are also detailed.
---
paper_title: Is science becoming more interdisciplinary? Measuring and mapping six research fields over time

paper_content:

In the last two decades there have been studies claiming that science is becoming ever more interdisciplinary. However, the evidence has been anecdotal or partial. Here we investigate how the degree of interdisciplinarity has changed between 1975 and 2005 over six research domains. To do so, we compute well-established bibliometric indicators alongside a new index of interdisciplinarity (Integration score, aka Rao-Stirling diversity) and a science mapping visualization method. The results attest to notable changes in research practices over this 30 year period, namely major increases in number of cited disciplines and references per article (both show about 50% growth), and co-authors per article (about 75% growth). However, the new index of interdisciplinarity only shows a modest increase (mostly around 5% growth). Science maps hint that this is because the distribution of citations of an article remains mainly within neighboring disciplinary areas. These findings suggest that science is indeed becoming more interdisciplinary, but in small steps — drawing mainly from neighboring fields and only modestly increasing the connections to distant cognitive areas. The combination of metrics and overlay science maps provides general benchmarks for future studies of interdisciplinary research characteristics.
---
paper_title: Measuring researcher interdisciplinarity

paper_content:

We offer two metrics that together help gauge how interdisciplinary a body of research is. Both draw upon Web of Knowledge Subject Categories (SCs) as key units of analysis. We have assembled two substantial Web of Knowledge samples from which to determine how closely individual SCs relate to each other. “Integration” measures the extent to which a research article cites diverse SCs. “Specialization” considers the spread of SCs in which the body of research (e.g., the work of a given author in a specified time period) is published. Pilot results for a sample of researchers show a surprising degree of interdisciplinarity.
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paper_title: Towards an explanatory and computational theory of scientific discovery

paper_content:

We propose an explanatory and computational theory of transformative discoveries in science. The theory is derived from a recurring theme found in a diverse range of scientific change, scientific discovery, and knowledge diffusion theories in philosophy of science, sociology of science, social network analysis, and information science. The theory extends the concept of structural holes from social networks to a broader range of associative networks found in science studies, especially including networks that reflect underlying intellectual structures such as co-citation networks and collaboration networks. The central premise is that connecting otherwise disparate patches of knowledge is a valuable mechanism of creative thinking in general and transformative scientific discovery in particular. In addition, the premise consistently explains the value of connecting people from different disciplinary specialties. The theory not only explains the nature of transformative discoveries in terms of the brokerage mechanism but also characterizes the subsequent diffusion process as optimal information foraging in a problem space. Complementary to epidemiological models of diffusion, foraging-based conceptualizations offer a unified framework for arriving at insightful discoveries and optimizing subsequent pathways of search in a problem space. Structural and temporal properties of potentially high-impact scientific discoveries are derived from the theory to characterize the emergence and evolution of intellectual networks of a field. Two Nobel Prize winning discoveries, the discovery of Helicobacter pylori and gene targeting techniques, and a discovery in string theory demonstrated such properties. Connections to and differences from existing approaches are discussed. The primary value of the theory is that it provides not only a computational model of intellectual growth, but also concrete and constructive explanations of where one may find insightful inspirations for transformative scientific discoveries.
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paper_title: Is science becoming more interdisciplinary? Measuring and mapping six research fields over time

paper_content:

In the last two decades there have been studies claiming that science is becoming ever more interdisciplinary. However, the evidence has been anecdotal or partial. Here we investigate how the degree of interdisciplinarity has changed between 1975 and 2005 over six research domains. To do so, we compute well-established bibliometric indicators alongside a new index of interdisciplinarity (Integration score, aka Rao-Stirling diversity) and a science mapping visualization method. The results attest to notable changes in research practices over this 30 year period, namely major increases in number of cited disciplines and references per article (both show about 50% growth), and co-authors per article (about 75% growth). However, the new index of interdisciplinarity only shows a modest increase (mostly around 5% growth). Science maps hint that this is because the distribution of citations of an article remains mainly within neighboring disciplinary areas. These findings suggest that science is indeed becoming more interdisciplinary, but in small steps — drawing mainly from neighboring fields and only modestly increasing the connections to distant cognitive areas. The combination of metrics and overlay science maps provides general benchmarks for future studies of interdisciplinary research characteristics.
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paper_title: Disciplinary, Multidisciplinary, Interdisciplinary - Concepts and Indicators -

paper_content:

The present invention is directed to compounds of Formula (I) or pharmaceutically acceptable salts thereof; wherein X is hydrogen, Cl, Br, I, NO2, NR3R4 or -L-Ch; Y is hydrogen, -CH2OR5, -CH2NCH3R1, NO2, NR3R4 or -L-Ch; Y' is hydrogen, -CH2OH5, -CH2NCH3R1, NO2, NR3R4 OR -L-Ch; provided that at least one of the Y or Y' is -CH2NCH3R1; Z is S, O, NR6 CR7R8, C(O) or -C(-CR7R8)-; A is hydrogen, Cl, I, Br or -L-Ch; R1 is hydrogen, C1-C5 alkyl, C3-C8 cycloalkyl C1-5 alkylcarbonyl, (C3-C8 cycloalkyl) carbonyl, pnenyl, benzyl, naphthyl, naphthylmethyl or L-Ch; R2 is hydrogen or methyl; and R3-R8 are as defined herein. Radiolabeled compounds of the invention are useful as selective serotonin transporter (SERT) imaging agents for single photon emission tomography (SPECT). As such the compounds are useful for studying the underlying pharmacology and interaction of specific serotinin reuptake site inhibitors (SSRI), commonly used antidepressants, at the SERT sites in the human brain. Certain compounds of the invention, including IDAM (5-iodo-2[[2-2-[(dimethylamino)methyl]phenyl]thio]benzylalcohol) display affinity to SERT sites and show more high selectively for SERT over NET and DAT.
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paper_title: Interdisciplinarity in science: a tentative typology of disciplines and research areas

paper_content:

Interdisciplinarity is considered the best way to face practical research topics since synergy between traditional disciplines has proved very fruitful. Studies on interdisciplinarity from all possible perspectives are increasingly demanded. Different interdisciplinarity measures have been used in case studies but, up to now, no general interdisciplinarity indicator useful for Science Policy purposes has been accepted. The bibliometric methodology presented here provides a general overview of all scientific disciplines, with special attention to their interrelation. This work aims to establish a tentative typology of disiciplines and research areas according to their degree of interdisciplinarity. Interdisciplinarity is measured through a series of indicators based on Institute for Scientific Information (ISI) multi-assignation of journals in subject categories. Research areas and categories are described according to the quantity of their links (number of related categories) and their quality (with close or distant categories, diversity, and strength of links). High levels of interrelations between categories are observed. Four different types of categories are found through cluster analysis. This differentiates "big" interdisciplinarity, which links distant categories, from "small" interdisciplinarity, in which close categories are related. The location of specific categories in the clusters is discussed.
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paper_title: A global map of science based on the ISI subject categories

paper_content:

The decomposition of scientific literature into disciplinary and subdisciplinary structures is one of the core goals of scientometrics. How can we achieve a good decomposition? The ISI subject categories classify journals included in the Science Citation Index (SCI). The aggregated journal-journal citation matrix contained in the Journal Citation Reports can be aggregated on the basis of these categories. This leads to an asymmetrical matrix (citing versus cited) that is much more densely populated than the underlying matrix at the journal level. Exploratory factor analysis of the matrix of subject categories suggests a 14-factor solution. This solution could be interpreted as the disciplinary structure of science. The nested maps of science (corresponding to 14 factors, 172 categories, and 6,164 journals) are online at . Presumably, inaccuracies in the attribution of journals to the ISI subject categories average out so that the factor analysis reveals the main structures. The mapping of science could, therefore, be comprehensive and reliable on a large scale albeit imprecise in terms of the attribution of journals to the ISI subject categories. © 2009 Wiley Periodicals, Inc.
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paper_title: Mapping interdisciplinarity at the interfaces between the Science Citation Index and the Social Science Citation Index

paper_content:

The two Journal Citation Reports of the Science Citation Index 2004 and the Social Science Citation Index 2004 were combined in order to analyze and map journals and specialties at the edges and in the overlap between the two databases. For journals which belong to the overlap (e.g., Scientometrics), the merger mainly enriches our insight into the structure which can be obtained from the two databases separately; but in the case of scientific journals which are more marginal in either database, the combination can provide a new perspective on the position and function of these journals (e.g., Environment and Planning B-Planning and Design). The combined database additionally enables us to map citation environments in terms of the various specialties comprehensively. Using the vector-space model, visualizations are provided for specialties that are parts of the overlap (information science, science & technology studies). On the basis of the resulting visualizations, "betweenness"--a measure from social network analysis--is suggested as an indicator for measuring the interdisciplinarity of journals.
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paper_title: Multidisciplinarity, interdisciplinarity, and patterns of research collaboration in nanoscience and nanotechnology

paper_content:

This paper first describes the recent development that scientists and engineers of many disciplines, countries, and institutions increasingly engage in nanoscale research at breathtaking speed. By co-author analysis of over 600 papers published in “nano journals” in 2002 and 2003, I investigate if this apparent concurrence is accompanied by new forms and degrees of multi- and interdisciplinarity as well as of institutional and geographic research collaboration. Based on a new visualization method, patterns of research collaboration are analyzed and compared with those of classical disciplinary research. I argue that current nanoscale research reveals no particular patterns and degrees of interdisciplinarity and that its apparent multidisciplinarity consists of different largely mono-disciplinary fields which are rather unrelated to each other and which hardly share more than the prefix “nano”.
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paper_title: Mapping knowledge domains: Characterizing PNAS

paper_content:

A review of data mining and analysis techniques that can be used for the mapping of knowledge domains is given. Literature mapping techniques can be based on authors, documents, journals, words, and/or indicators. Most mapping questions are related to research assessment or to the structure and dynamics of disciplines or networks. Several mapping techniques are demonstrated on a data set comprising 20 years of papers published in PNAS. Data from a variety of sources are merged to provide unique indicators of the domain bounded by PNAS. By using funding source information and citation counts, it is shown that, on an aggregate basis, papers funded jointly by the U.S. Public Health Service (which includes the National Institutes of Health) and non-U.S. government sources outperform papers funded by other sources, including by the U.S. Public Health Service alone. Grant data from the National Institute on Aging show that, on average, papers from large grants are cited more than those from small grants, with performance increasing with grant amount. A map of the highest performing papers over the 20-year period was generated by using citation analysis. Changes and trends in the subjects of highest impact within the PNAS domain are described. Interactions between topics over the most recent 5-year period are also detailed.
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paper_title: Searching for intellectual turning points: Progressive knowledge domain visualization

paper_content:

This article introduces a previously undescribed method progressively visualizing the evolution of a knowledge domain's cocitation network. The method first derives a sequence of cocitation networks from a series of equal-length time interval slices. These time-registered networks are merged and visualized in a panoramic view in such a way that intellectually significant articles can be identified based on their visually salient features. The method is applied to a cocitation study of the superstring field in theoretical physics. The study focuses on the search of articles that triggered two superstring revolutions. Visually salient nodes in the panoramic view are identified, and the nature of their intellectual contributions is validated by leading scientists in the field. The analysis has demonstrated that a search for intellectual turning points can be narrowed down to visually salient nodes in the visualized network. The method provides a promising way to simplify otherwise cognitively demanding tasks to a search for landmarks, pivots, and hubs.
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paper_title: Betweenness Centrality” as an Indicator of the “Interdisciplinarity” of Scientific Journals

paper_content:

In addition to science citation indicators of journals like impact and immediacy, social network analysis provides a set of centrality measures like degree, betweenness, and closeness centrality. These measures are first analyzed for the entire set of 7,379 journals included in the Journal Citation Reports of the Science Citation Index and the Social Sciences Citation Index 2004 (Thomson ISI, Philadelphia, PA), and then also in relation to local citation environments that can be considered as proxies of specialties and disciplines. Betweenness centrality is shown to be an indicator of the interdisciplinarity of journals, but only in local citation environments and after normalization; otherwise, the influence of degree centrality (size) overshadows the betweenness-centrality measure. The indicator is applied to a variety of citation environments, including policy-relevant ones like biotechnology and nanotechnology. The values of the indicator remain sensitive to the delineations of the set because of the indicator's local character. Maps showing interdisciplinarity of journals in terms of betweenness centrality can be drawn using information about journal citation environments, which is available online.
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paper_title: Co‐citation in the scientific literature: A new measure of the relationship between two documents

paper_content:

A new form of document coupling called co-citation is defined as the frequency with which two documents are cited together. The co-citation frequency of two scientific papers can be determined by comparing lists of citing documents in the Science Citation Index and counting identical entries. Networks of co-cited papers can be generated for specific scientific specialties, and an example is drawn from the literature of particle physics. Co-citation patterns are found to differ significantly from bibliographic coupling patterns, but to agree generally with patterns of direct citation. Clusters of co-cited papers provide a new way to study the specialty structure of science. They may provide a new approach to indexing and to the creation of SDI profiles.
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paper_title: Bibliographic coupling between scientific papers

paper_content:

This report describes the results of automatic processing of a large number of scientific papers according to a rigorously defined criterion of coupling. The population of papers under study was ordered into groups that satisfy the stated criterion of interrelation. An examination of the papers that constitute the groups shows a high degree of logical correlation.
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Title: Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature
Section 1: Abstract
Description 1: Write a brief summary of the paper, capturing the main objectives, methods, results, and conclusions.

Section 2: Purpose of this literature review
Description 2: Discuss the motivation behind the literature review, including the factors prompting the study and the lines of inquiry pursued.

Section 3: Defining terms
Description 3: Describe the key terms and definitions associated with IDR, reflecting the diverse understandings and assumptions in the literature.

Section 4: Context: processes and outcomes of interdisciplinary research
Description 4: Examine the processes that constitute IDR and discuss the research outputs that can measure IDR.

Section 5: Quantitative measures: structural relationships as an IDR measure
Description 5: Discuss bibliometric approaches to measure scientific output and evaluate their effectiveness in capturing IDR.

Section 6: Spatial distances as an assessment tool
Description 6: Explore methods using spatial distances to assess and visualize IDR, including recent advancements and techniques.

Section 7: Diversity
Description 7: Analyze measures of disciplinary diversity and coherence to describe the heterogeneity and integration of knowledge in IDR.

Section 8: Entropy
Description 8: Explain the concept of entropy as a measure of uncertainty and diversity within the system of science and its application in IDR.

Section 9: Betweenness centrality and boundary spanning
Description 9: Discuss betweenness centrality and boundary spanning as indicators of interdisciplinarity at various levels within the knowledge network.

Section 10: Indices
Description 10: Evaluate the potential development of indices for interdisciplinarity, combining multiple measures to capture the complexity of IDR.

Section 11: Limitations and additional issues
Description 11: Address the limitations of current bibliometric tools and methods for measuring IDR, and suggest areas for future research.

Section 12: Classification-based vs. bottom-up approaches
Description 12: Compare classification-based and bottom-up approaches for measuring IDR, discussing their respective advantages and limitations.

Section 13: Static vs. dynamic measures of IDR
Description 13: Discuss the implications of static versus dynamic measures for IDR and the need for longitudinal analysis.

Section 14: Limitations of existing databases as sources of IDR measures
Description 14: Examine the limitations of existing databases for developing bibliometric measures of IDR, especially for humanities and social sciences.

Section 15: Observations
Description 15: Summarize key observations from the review, highlight areas of consensus and disagreement, and propose future directions for research and policy-making.