Professor Michael Rowlinson, Queen Mary, University of London, UK presented this seminar "Where Next for the ABS Guide" as part of the Whitaker Institute Seminar Series at the Whitaker Institute on 1st February 2012.
Impact Factor: An Index of Research JournalAJAY SEMALTY
PLEASE SUBSCRIBE OUR YOUTUBE CHANNEL OPENKNOWLEDGE or see URL https://youtu.be/nPLnJqLEknY
Research Indices are the indicators of the credibility and recognition of a researcher, a journal, an article and/or and institute. These include Impact Factor, immediacy Index, h-index etc. Researchers and students must know about these indices for better recognition in the academia and research. In the first part of the series we are discussing Impact Factor as a vital research Index. Impact factor (IF) is the most Important basis of selection of journal by the researchers and readers. Its a a measure of the reputation of a journal. IF is a measure of the frequency with which the "average article" in a journal has been cited in a particular year. The OER shall cover how (IF is calculated), Who (provides the IF), on which factors IF depends upon, The importance of IF in academic recognition and knowing the IF of journal. Also SUBSCRIBE OUR YOUTUBE CHANNEL OPENKNOWLEDGE or see https://youtu.be/nPLnJqLEknY
This document summarizes a presentation on research assessment in the UK. It outlines the Research Assessment Exercise (RAE) process and its impact on researcher behavior. It then discusses the transition to the new Research Excellence Framework (REF), which will place greater emphasis on citations, impact, and environment. The presentation notes that the RAE and REF influence what researchers study and how they disseminate their work, and that behaviors will continue adjusting in response to assessment changes.
This document provides an overview of various bibliometric tools and metrics for measuring scientific output and impact. It discusses journal ranking metrics like impact factor, eigenfactor, SNIP, and SJR. It also covers article-level metrics including F1000 factors and citation analysis tools from Google Scholar, Web of Science, and Scopus. Additionally, it introduces author-level metrics such as the h-index and its variants that can be calculated using various databases and tools. Finally, the document briefly discusses altmetrics and ways to track scholarly impact on social media and the open web.
The document discusses the use of bibliometric data and citation metrics to evaluate research performance and support decision making. It notes the increasing importance of demonstrating research impact and return on investment. Thomson Reuters products like the Journal Citation Reports and Web of Science are positioned as providing objective citation and bibliometric data to help with research assessment and evaluation exercises. The document also provides examples of how this data can be used to analyze the research performance of institutions and individuals.
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
Presentation from our AGM and afternoon of talks on the theme of Open.
https://www.eventbrite.co.uk/e/mmit-2016-agm-and-free-talks-on-open-libraries-research-and-education-tickets-28552110130#
Stephen Pinfield - Professor of Information Services Management at University of Sheffield - @StephenPinfield
Impact Factor: An Index of Research JournalAJAY SEMALTY
PLEASE SUBSCRIBE OUR YOUTUBE CHANNEL OPENKNOWLEDGE or see URL https://youtu.be/nPLnJqLEknY
Research Indices are the indicators of the credibility and recognition of a researcher, a journal, an article and/or and institute. These include Impact Factor, immediacy Index, h-index etc. Researchers and students must know about these indices for better recognition in the academia and research. In the first part of the series we are discussing Impact Factor as a vital research Index. Impact factor (IF) is the most Important basis of selection of journal by the researchers and readers. Its a a measure of the reputation of a journal. IF is a measure of the frequency with which the "average article" in a journal has been cited in a particular year. The OER shall cover how (IF is calculated), Who (provides the IF), on which factors IF depends upon, The importance of IF in academic recognition and knowing the IF of journal. Also SUBSCRIBE OUR YOUTUBE CHANNEL OPENKNOWLEDGE or see https://youtu.be/nPLnJqLEknY
This document summarizes a presentation on research assessment in the UK. It outlines the Research Assessment Exercise (RAE) process and its impact on researcher behavior. It then discusses the transition to the new Research Excellence Framework (REF), which will place greater emphasis on citations, impact, and environment. The presentation notes that the RAE and REF influence what researchers study and how they disseminate their work, and that behaviors will continue adjusting in response to assessment changes.
This document provides an overview of various bibliometric tools and metrics for measuring scientific output and impact. It discusses journal ranking metrics like impact factor, eigenfactor, SNIP, and SJR. It also covers article-level metrics including F1000 factors and citation analysis tools from Google Scholar, Web of Science, and Scopus. Additionally, it introduces author-level metrics such as the h-index and its variants that can be calculated using various databases and tools. Finally, the document briefly discusses altmetrics and ways to track scholarly impact on social media and the open web.
The document discusses the use of bibliometric data and citation metrics to evaluate research performance and support decision making. It notes the increasing importance of demonstrating research impact and return on investment. Thomson Reuters products like the Journal Citation Reports and Web of Science are positioned as providing objective citation and bibliometric data to help with research assessment and evaluation exercises. The document also provides examples of how this data can be used to analyze the research performance of institutions and individuals.
LITA’s Altmetrics and Digital Analytics Interest Group is proud to present Heather Coates, Richard Naples, and Lauren Collister in our second free webinar of the season. Heather will introduce the concept of altmetrics with a quick "Altmetrics 101," Richard will discuss the Smithsonian's implementation of Altmetric, and Lauren will share the University of Pittsburgh's experience with Plum Analytics.
Presentation from our AGM and afternoon of talks on the theme of Open.
https://www.eventbrite.co.uk/e/mmit-2016-agm-and-free-talks-on-open-libraries-research-and-education-tickets-28552110130#
Stephen Pinfield - Professor of Information Services Management at University of Sheffield - @StephenPinfield
1. The document discusses preparing researchers for the next Research Excellence Framework (REF) assessment in the UK. It covers open access policies, bibliometrics, altmetrics, and ORCID identifiers.
2. Open access requirements for REF submissions are that journal articles and conference papers be made publicly available within 3 months of acceptance in an institutional repository.
3. Bibliometrics like citation counts and journal impact factors may play a larger role in REF assessments in the future, though peer review will still be primary. Concerns about gaming the system and disciplinary biases remain.
This panel addresses the application of bibliometric and scientometric methods applied in the assessment of journals and the research they publish.
The measurement of impact of scientific journals through citations has its origin in the documentalists activities at the late nineteenth century to organize the publications of specific areas. The unfolding of these efforts soon undertook quantitative approaches aiming at understanding trends which allowed us to establish, for example, the nucleus of journals and authors in the various areas, making it an important input for science historians and sociologists.
Regarding the treatment of scientific information, the essays of the first half of the twentieth century were materialized into a system that would offer a new form of information retrieval – in the diachronic sense – allowing to identify the relation that literature establishes from the publishing of an article. This relationship, which expresses the repercussion of a new knowledge in the literature, did not take much time to attribute the idea of scientific impact, whose expression occurs through citations. The citation index then revolutionizes the way of accessing literature in the second half of that century, at the same time as it becomes a unique source for impact indicators, which from there would represent the world science in evaluative processes around of the world.
At the turn of the twenty first century, many factors – such as subscription costs, the underrepresentation of the scientific literature of non-English-speaking countries, as well as the different practices of scientific communication among areas of knowledge – have given rise to initiatives aimed at broader sources of information, while at the same time facilitating free access to scientific information. However, besides the access issue, the already established need for impact measurement could not be ignored in order to provide the consolidated processes of evaluation of scientific output with more adequate indicators.
In this sense, it is necessary that the new information sources, taking advantage of the new methodologies proposed by the community specialized in quantitative methods of science evaluation, may contribute with indicators that make the assessment of national (Brazilian) scientific output more adequate to the national scenario. In doing so, it is hoped that the group’s discussions will contribute not only to evidence the best that has been produced locally, but also to allow scientific journals edited nationally, particularly those of the SciELO Network, to have their impact recognized, allowing circulation of global and inclusive scientific knowledge.
Syllabus
Information sources for generating impact indicators; specificity of the culture of scientific communication in the different areas, especially the Human and Social Sciences; the limitations of the Impact Factor and mainstream journal-based indicators; methodologies for…
This document discusses the use of bibliometrics and citation analysis at Wageningen University. It provides context about the university's evaluation cycle and criteria. It then describes the current research information system (Metis) and institutional repository (Wageningen Yield) that provide publication data. The document discusses challenges in comparing citation metrics across fields and researchers. It also considers sources of citation data and developing altmetric tools. Finally, it argues that the university library is well-positioned to conduct bibliometric analyses using these local data systems.
The document provides information about how Journal Impact Factors are calculated. It defines Journal Impact Factor as the average number of times articles from a journal published in the last two years were cited in the current year. It then explains the formula used to calculate Journal Impact Factors and visualizes the calculation process. The document also addresses common questions about what is included in the numerator and denominator and how title changes, supplements, and self-citations are handled in the calculation.
This document provides an introduction to Snowball Metrics, which aims to establish standard metrics that research universities can use to understand their strengths and weaknesses. The Snowball Metrics approach is a bottom-up collaboration between research universities and Elsevier. It takes a pragmatic approach, agreeing on core metrics first and reusing existing standards where possible. The goal is for Snowball Metrics to become a globally recognized standard to inform evidence-based institutional decision-making, rather than ranking. Universities own the process of defining the metrics, while Elsevier provides project management support and technical expertise.
This document provides an overview and demonstration of the SciVal and Snowball Metrics tools. SciVal is a set of integrated modules that enables institutions to make evidence-based strategic decisions about research performance, benchmarking, and collaboration opportunities. It contains data on over 220 nations and 4,600 research institutions. The demonstration shows how to access and use the Overview, Benchmarking, and Collaboration modules to analyze the research performance of the University of Cape Town across metrics like publications, citations, collaborators, and more. It also provides guidance on selecting appropriate metrics and defining custom research areas for analysis in SciVal.
Academics must provide evidence to demonstrate the impact and outcomes of their scholarly work. This webinar, presented by librarians, will help faculty explore various forms of documentary evidence to support their case for excellence. Sponsored by the IUPUI Office of Academic Affairs.
Note: The webinar included demonstrations of Web of Science & Scopus, which the slides do not reflect.
This document discusses bibliometric tools that can be used to analyze scholarly literature and research impact. It explains that bibliometrics involves the quantitative analysis of bibliographic items like citations, authors, and keywords. Individual researchers and institutions can use bibliometric tools to evaluate research impact, identify collaborators, analyze journal metrics, and inform hiring and funding decisions. It provides examples of bibliometric databases like Web of Science, Scopus, and Google Scholar that contain citation data and metrics. Finally, it notes some limitations of bibliometric indicators and the need to consider citation behaviors and contexts across disciplines.
This document discusses implementing ORCID identifiers at Northumbria University. It describes Northumbria as a research-rich university with over 1,300 academic staff across four faculties. The Scholarly Publications team provides support for research activities including the institutional repository and research data management. ORCID was first promoted in 2013 and is now integrated into the postgraduate researcher workflow and upcoming staff publishing workflows. ORCID helps with accurate attribution of authors in research metrics reporting and identifying collaborations. Maintaining central support and emphasizing the benefits to individuals have helped adoption.
Publishing your Work in a Rapidly Changing Scholarly Communications EnvironmentCourtney Mlinar
This document discusses the rapidly changing scholarly communications environment and issues surrounding publishing research. It notes debates around making federally funded research openly accessible and proposed legislation. It also covers tools for tracking citations and measuring impact, such as the Journal Impact Factor, Eigenfactor, Article Influence Score, and Hirsch index. Various publishing models and players in the field, including open access options, are outlined. Evaluation criteria like the CRAAP test for assessing information sources are presented.
The document discusses various metrics that can be used to evaluate research performance and impact. It describes metrics for productivity, influence, efficiency, relative impact compared to norms, specialization within or across disciplines, emerging areas, and indirect impact. Examples of calculations and uses for different metrics are provided.
Impact Factor Journals as per JCR, SNIP, SJR, IPP, CiteScoreSaptarshi Ghosh
Journal-level metrics
Metrics have become a fact of life in many - if not all - fields of research and scholarship. In an age of information abundance (often termed ‘information overload’), having a shorthand for the signals for where in the ocean of published literature to focus our limited attention has become increasingly important.
Research metrics are sometimes controversial, especially when in popular usage they become proxies for multidimensional concepts such as research quality or impact. Each metric may offer a different emphasis based on its underlying data source, method of calculation, or context of use. For this reason, Elsevier promotes the responsible use of research metrics encapsulated in two “golden rules”. Those are: always use both qualitative and quantitative input for decisions (i.e. expert opinion alongside metrics), and always use more than one research metric as the quantitative input. This second rule acknowledges that performance cannot be expressed by any single metric, as well as the fact that all metrics have specific strengths and weaknesses. Therefore, using multiple complementary metrics can help to provide a more complete picture and reflect different aspects of research productivity and impact in the final assessment. ( Elsevier)
Finding Journal Impact Factor using Journal Citation Reports Andiswa Mfengu
Journal Citation Reports - InCites provides journal impact factors and rankings across various disciplines. It collects citation data and calculates metrics like impact factor, immediacy index, and half-life for journals indexed in Web of Science. Impact factor is a measure of how frequently the average article in a journal is cited in a given year. It is calculated by dividing the number of times articles published in the last two years were cited by the total number of articles published in those two years. The document provides instructions on how to access Journal Citation Reports through the library database to search for journals, compare metrics between journals, and view trends in journal-level indicators over time.
Impact factor (using impact factor to assess the impact of a journal)shri mangalambikai
The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.
Impact Factors are useful, but they should not be the only consideration when judging quality. Not all journals are tracked in the JCR database and, as a result, do not have impact factors. New journals must wait until they have a record of citations before even being considered for inclusion. The scientific worth of an individual article has nothing to do with the impact factor of a journal.
This document provides an overview of bibliometric metrics for evaluating scholarly work, including both freely available and paid subscription metrics. It discusses journal-level metrics like impact factor, acceptance rates, and Scimago rankings. Article-level metrics mentioned include citations, downloads, and Altmetric scores. Author-level metrics like the h-index are also covered. Paid bibliometrics from Web of Science and Scopus are noted. Freely available options highlighted are Google Scholar for citations, rankings, and profiles, as well as Scimago for journal rankings. Caveats about the limitations of metrics are also summarized.
Judging research quality bibliometrics and beyondRoger Watson
This document summarizes and discusses various methods for judging research quality, including bibliometrics and alternative approaches. It discusses bibliometrics such as impact factors and how they are calculated. However, it notes that bibliometrics only measure one dimension of quality and do not reflect the broader societal impacts of research. The document advocates considering additional factors beyond citation counts, such as qualitative evaluations and altmetrics, to more fully capture research quality.
2013.11.14 Big Data Workshop Michael BrowneNUI Galway
Michael Browne from the Irish Centre for High End Computing presented this overview of Big Data and Computer Architecture during the Big Data Workshop hosted by the Social Sciences Computing Hub at the Whitaker Institute on the 14th November 2013
2012.06.13 Open Innovation: The Legal Implications part 2NUI Galway
Patricia McGovern, Head of the Intellectual Property Department, DFMG Solicitors, presented "Open Innovation: The Legal Implications" at the IntertradeIreland All-Island Innovation Programme annual conference 2012, Exploiting Industry and University Research, Development and Innovation: Why it Matters held at National University of Ireland, Galway, 12 - 13 June 2012. Part 2
1. The document discusses preparing researchers for the next Research Excellence Framework (REF) assessment in the UK. It covers open access policies, bibliometrics, altmetrics, and ORCID identifiers.
2. Open access requirements for REF submissions are that journal articles and conference papers be made publicly available within 3 months of acceptance in an institutional repository.
3. Bibliometrics like citation counts and journal impact factors may play a larger role in REF assessments in the future, though peer review will still be primary. Concerns about gaming the system and disciplinary biases remain.
This panel addresses the application of bibliometric and scientometric methods applied in the assessment of journals and the research they publish.
The measurement of impact of scientific journals through citations has its origin in the documentalists activities at the late nineteenth century to organize the publications of specific areas. The unfolding of these efforts soon undertook quantitative approaches aiming at understanding trends which allowed us to establish, for example, the nucleus of journals and authors in the various areas, making it an important input for science historians and sociologists.
Regarding the treatment of scientific information, the essays of the first half of the twentieth century were materialized into a system that would offer a new form of information retrieval – in the diachronic sense – allowing to identify the relation that literature establishes from the publishing of an article. This relationship, which expresses the repercussion of a new knowledge in the literature, did not take much time to attribute the idea of scientific impact, whose expression occurs through citations. The citation index then revolutionizes the way of accessing literature in the second half of that century, at the same time as it becomes a unique source for impact indicators, which from there would represent the world science in evaluative processes around of the world.
At the turn of the twenty first century, many factors – such as subscription costs, the underrepresentation of the scientific literature of non-English-speaking countries, as well as the different practices of scientific communication among areas of knowledge – have given rise to initiatives aimed at broader sources of information, while at the same time facilitating free access to scientific information. However, besides the access issue, the already established need for impact measurement could not be ignored in order to provide the consolidated processes of evaluation of scientific output with more adequate indicators.
In this sense, it is necessary that the new information sources, taking advantage of the new methodologies proposed by the community specialized in quantitative methods of science evaluation, may contribute with indicators that make the assessment of national (Brazilian) scientific output more adequate to the national scenario. In doing so, it is hoped that the group’s discussions will contribute not only to evidence the best that has been produced locally, but also to allow scientific journals edited nationally, particularly those of the SciELO Network, to have their impact recognized, allowing circulation of global and inclusive scientific knowledge.
Syllabus
Information sources for generating impact indicators; specificity of the culture of scientific communication in the different areas, especially the Human and Social Sciences; the limitations of the Impact Factor and mainstream journal-based indicators; methodologies for…
This document discusses the use of bibliometrics and citation analysis at Wageningen University. It provides context about the university's evaluation cycle and criteria. It then describes the current research information system (Metis) and institutional repository (Wageningen Yield) that provide publication data. The document discusses challenges in comparing citation metrics across fields and researchers. It also considers sources of citation data and developing altmetric tools. Finally, it argues that the university library is well-positioned to conduct bibliometric analyses using these local data systems.
The document provides information about how Journal Impact Factors are calculated. It defines Journal Impact Factor as the average number of times articles from a journal published in the last two years were cited in the current year. It then explains the formula used to calculate Journal Impact Factors and visualizes the calculation process. The document also addresses common questions about what is included in the numerator and denominator and how title changes, supplements, and self-citations are handled in the calculation.
This document provides an introduction to Snowball Metrics, which aims to establish standard metrics that research universities can use to understand their strengths and weaknesses. The Snowball Metrics approach is a bottom-up collaboration between research universities and Elsevier. It takes a pragmatic approach, agreeing on core metrics first and reusing existing standards where possible. The goal is for Snowball Metrics to become a globally recognized standard to inform evidence-based institutional decision-making, rather than ranking. Universities own the process of defining the metrics, while Elsevier provides project management support and technical expertise.
This document provides an overview and demonstration of the SciVal and Snowball Metrics tools. SciVal is a set of integrated modules that enables institutions to make evidence-based strategic decisions about research performance, benchmarking, and collaboration opportunities. It contains data on over 220 nations and 4,600 research institutions. The demonstration shows how to access and use the Overview, Benchmarking, and Collaboration modules to analyze the research performance of the University of Cape Town across metrics like publications, citations, collaborators, and more. It also provides guidance on selecting appropriate metrics and defining custom research areas for analysis in SciVal.
Academics must provide evidence to demonstrate the impact and outcomes of their scholarly work. This webinar, presented by librarians, will help faculty explore various forms of documentary evidence to support their case for excellence. Sponsored by the IUPUI Office of Academic Affairs.
Note: The webinar included demonstrations of Web of Science & Scopus, which the slides do not reflect.
This document discusses bibliometric tools that can be used to analyze scholarly literature and research impact. It explains that bibliometrics involves the quantitative analysis of bibliographic items like citations, authors, and keywords. Individual researchers and institutions can use bibliometric tools to evaluate research impact, identify collaborators, analyze journal metrics, and inform hiring and funding decisions. It provides examples of bibliometric databases like Web of Science, Scopus, and Google Scholar that contain citation data and metrics. Finally, it notes some limitations of bibliometric indicators and the need to consider citation behaviors and contexts across disciplines.
This document discusses implementing ORCID identifiers at Northumbria University. It describes Northumbria as a research-rich university with over 1,300 academic staff across four faculties. The Scholarly Publications team provides support for research activities including the institutional repository and research data management. ORCID was first promoted in 2013 and is now integrated into the postgraduate researcher workflow and upcoming staff publishing workflows. ORCID helps with accurate attribution of authors in research metrics reporting and identifying collaborations. Maintaining central support and emphasizing the benefits to individuals have helped adoption.
Publishing your Work in a Rapidly Changing Scholarly Communications EnvironmentCourtney Mlinar
This document discusses the rapidly changing scholarly communications environment and issues surrounding publishing research. It notes debates around making federally funded research openly accessible and proposed legislation. It also covers tools for tracking citations and measuring impact, such as the Journal Impact Factor, Eigenfactor, Article Influence Score, and Hirsch index. Various publishing models and players in the field, including open access options, are outlined. Evaluation criteria like the CRAAP test for assessing information sources are presented.
The document discusses various metrics that can be used to evaluate research performance and impact. It describes metrics for productivity, influence, efficiency, relative impact compared to norms, specialization within or across disciplines, emerging areas, and indirect impact. Examples of calculations and uses for different metrics are provided.
Impact Factor Journals as per JCR, SNIP, SJR, IPP, CiteScoreSaptarshi Ghosh
Journal-level metrics
Metrics have become a fact of life in many - if not all - fields of research and scholarship. In an age of information abundance (often termed ‘information overload’), having a shorthand for the signals for where in the ocean of published literature to focus our limited attention has become increasingly important.
Research metrics are sometimes controversial, especially when in popular usage they become proxies for multidimensional concepts such as research quality or impact. Each metric may offer a different emphasis based on its underlying data source, method of calculation, or context of use. For this reason, Elsevier promotes the responsible use of research metrics encapsulated in two “golden rules”. Those are: always use both qualitative and quantitative input for decisions (i.e. expert opinion alongside metrics), and always use more than one research metric as the quantitative input. This second rule acknowledges that performance cannot be expressed by any single metric, as well as the fact that all metrics have specific strengths and weaknesses. Therefore, using multiple complementary metrics can help to provide a more complete picture and reflect different aspects of research productivity and impact in the final assessment. ( Elsevier)
Finding Journal Impact Factor using Journal Citation Reports Andiswa Mfengu
Journal Citation Reports - InCites provides journal impact factors and rankings across various disciplines. It collects citation data and calculates metrics like impact factor, immediacy index, and half-life for journals indexed in Web of Science. Impact factor is a measure of how frequently the average article in a journal is cited in a given year. It is calculated by dividing the number of times articles published in the last two years were cited by the total number of articles published in those two years. The document provides instructions on how to access Journal Citation Reports through the library database to search for journals, compare metrics between journals, and view trends in journal-level indicators over time.
Impact factor (using impact factor to assess the impact of a journal)shri mangalambikai
The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.
Impact Factors are useful, but they should not be the only consideration when judging quality. Not all journals are tracked in the JCR database and, as a result, do not have impact factors. New journals must wait until they have a record of citations before even being considered for inclusion. The scientific worth of an individual article has nothing to do with the impact factor of a journal.
This document provides an overview of bibliometric metrics for evaluating scholarly work, including both freely available and paid subscription metrics. It discusses journal-level metrics like impact factor, acceptance rates, and Scimago rankings. Article-level metrics mentioned include citations, downloads, and Altmetric scores. Author-level metrics like the h-index are also covered. Paid bibliometrics from Web of Science and Scopus are noted. Freely available options highlighted are Google Scholar for citations, rankings, and profiles, as well as Scimago for journal rankings. Caveats about the limitations of metrics are also summarized.
Judging research quality bibliometrics and beyondRoger Watson
This document summarizes and discusses various methods for judging research quality, including bibliometrics and alternative approaches. It discusses bibliometrics such as impact factors and how they are calculated. However, it notes that bibliometrics only measure one dimension of quality and do not reflect the broader societal impacts of research. The document advocates considering additional factors beyond citation counts, such as qualitative evaluations and altmetrics, to more fully capture research quality.
2013.11.14 Big Data Workshop Michael BrowneNUI Galway
Michael Browne from the Irish Centre for High End Computing presented this overview of Big Data and Computer Architecture during the Big Data Workshop hosted by the Social Sciences Computing Hub at the Whitaker Institute on the 14th November 2013
2012.06.13 Open Innovation: The Legal Implications part 2NUI Galway
Patricia McGovern, Head of the Intellectual Property Department, DFMG Solicitors, presented "Open Innovation: The Legal Implications" at the IntertradeIreland All-Island Innovation Programme annual conference 2012, Exploiting Industry and University Research, Development and Innovation: Why it Matters held at National University of Ireland, Galway, 12 - 13 June 2012. Part 2
Dr Jimmy Huang, Warwick Business School, University of Warwick, UK presented this seminar "Bring Knowledge to Life: A Case Study of National palace Museum, Taipei" at the Whitaker Institute on 15th April 2011.
Dr. Jeanne Moriarty, St. James' Hospital Dublin, presented "The Story from St. James'" at Simulation in Irish Medical Education: Where Are We, and Where Are We Going? held at NUI Galway on the 2nd July 2012.
2013.11.14 Big Data Workshop Adam Ralph - 2nd set of slidesNUI Galway
Adam Ralph from the Irish Centre for High End Computing presented this Introduction to Basic R during the Big Data Workshop hosted by the Social Sciences Computing Hub at the Whitaker Institute on the 14th November 2013
2012.06.15 Marie Curie Programme FP7 Information SessionNUI Galway
Dr. Jennifer Brennan, National Contact Point for Marie Curie, Irish Universities Association presented this seminar "FP7 Information Session: Marie Curie Programme" at the Whitaker Institute on 15th June 2012.
2012.06.12 Research on Academic Entrepreneurship: Lessons Learnt Part 2NUI Galway
This document summarizes a presentation on academic entrepreneurship research in the U.S. and Europe. It discusses key findings from quantitative and qualitative studies on university technology transfer. Some findings include that organizational factors help explain differences in university performance, and that incentives for faculty involvement are important. It also outlines remaining questions and an agenda for additional research on the institutions and agents involved in academic entrepreneurship.
2012.08.23 Scandinavian Insights on International Entrepreneurship and Innova...NUI Galway
Professor Svante Andersson, Halmstad University, Sweden presented this seminar as part of a session on Scandinavian Insights on International Entrepreneurship and Innovation at the Whitaker Institute on the 23rd August 2012.
2012.07.02 the story from the asset centreNUI Galway
Dr. John McAdoo, ASSET Centre, UCC, presented "The Story from the ASSET Centre" at Simulation in Irish Medical Education: Where Are We, and Where Are We Going? held at NUI Galway on the 2nd July 2012.
2016.05.05 collective intelligence – an innovative research approach to promo...NUI Galway
Dr. Patricia McHugh, Dr. Veronica McCauley & Dr. Kevin Davison presented this seminar on Collective Intelligence - An Innovative Research Approach to Promoting Ocean Literacies in Ireland under the Sea Change project. They spoke on behalf of the Social Innovation, Participation and Policy Cluster (SIPPs) as part of the Whitaker Institute's Ideas Forum on 5th May 2016.
2013.11.14 Big Data Workshop Bruno Voisin NUI Galway
Bruno Voisin from the Irish Centre for High End Computing presented this Introduction to Data Analytics Techniques and their Implementation in R during the Big Data Workshop hosted by the Social Sciences Computing Hub at the Whitaker Institute on the 14th November 2013
Professor Martin Kilduff, Judge Business School, University of Cambridge, UK presented this seminar "Publishing in Top Journals: A guide for the perplexed" at the Whitaker Institute on 3rd February 2011.
2011.11.28 Collective Intelligence - Problems and PossibilitiesNUI Galway
Dr Michael Hogan, School of Psychology, NUI Galway presented this seminar "Collective Intelligence - Problems and Possibilities" as part of the Break the Barrier Seminar Series at the Whitaker Institute on 28th November 2011.
2012.02.08 An Insider's Guide to Getting Published in International JournalsNUI Galway
Professor Thomas Garavan, Kemmy Business School, University of Limerick presented this seminar "An Insider's Guide to Getting Published in International Journals" as part of the Whitaker Institute Seminar Series at the Whitaker Institute on 8th February 2012.
2012.06.13 Economic Growth and Academic Entrepreneurship: Lessons and Implica...NUI Galway
Professor Donald Siegel, University at Albany, State University of New York, presented the second keynote address "Economic Growth and Academic Entrepreneurship: Lessons and Implications for Industry, Academia and Policymakers" at the IntertradeIreland All-Island Innovation Programme annual conference 2012, Exploiting Industry and University Research, Development and Innovation: Why it Matters held at National University of Ireland, Galway, 12 - 13 June 2012. Part 1
2012.06.20 International and Collaborative ResearchNUI Galway
Professor Chris Brewster, Henley Business School, University of Reading, UK presented this seminar "International and Collaborative Research" at the Whitaker Institute on 20th June 2012.
2012.08.23 An ethnography of innovation processes in the food industryNUI Galway
Dr. Thomas Hoholm, BI Norwegian Business School presented this seminar, "The Contrary Forces of Innovation: An ethnography of innovation processes in the food industry", as part of a session on Scandinavian Insights on International Entrepreneurship and Innovation at the Whitaker Institute on the 23rd August 2012.
2012.09.05 The Management of Human Resources and the Governance of EmploymentNUI Galway
This document discusses the governance of employment and human resource management. It argues that while HRM focuses on managing people within organizations, governance looks at the wider social context and actors involved in governing work. Governance recognizes the complexity, distributed nature, dynamism and contingency of the social, economic and political factors influencing work. The governance of employment involves many actors like government, employers, unions, training providers operating through hierarchies, markets and networks to shape labor markets, vocational education and training policy. The document examines reforms to vocational training policy and institutions over time in the UK and Ireland as an example of the challenges of establishing stable governance arrangements.
2012.02.18 Reducing Human Error in Healthcare - Getting Doctors to Swallow th...NUI Galway
Dr Paul O'Connor, Whitaker Institute, NUI Galway presented this seminar "Reducing Human Error in Healthcare - Getting Doctors to Swallow the Blue Pill" as part of the NUI Galway Research Office Lunchtime Seminar Series on 18th January 2012.
2011.02.04 The Awestruck Effect: Transformational Leadership and Followers’ E...NUI Galway
Professor Martin Kilduff, Judge Business School, University of Cambridge, UK presented this seminar "The Awestruck Effect: Transformational Leadership and Followers’ Emotion Suppression" at the Whitaker Institute on 4th February 2011.
This document discusses bibliometrics and their use at Cardiff University. It begins with an introduction to bibliometric measures like citations, impact factors, and altmetrics. It then discusses how bibliometric data is presented in Cardiff's institutional repository and how it was used to provide context for research evaluations in the UK's REF2014 assessment exercise. The document concludes by outlining Cardiff's trial of the SciVal analytics tool and plans for a new research information system to better integrate bibliometric and altmetric data.
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2012.02.01 Where Next for the ABS Guide
1. 1
Galway 1st Feb 2012
Where next for
the ABS Guide?
Michael Rowlinson
(Queen Mary University of London)
Based on Charles Harvey, Aidan Kelly, Huw
Morris, & Michael Rowlinson eds.
The Association of Business Schools Academic
Journal Quality Guide Version 4. March 2010.
A brief history of the ABS Guide
• Originated as the Harvey Morris guide
• Adopted by the ABS
• Produced annually up to 2010, now in
version 4
• Revamped version to appear biannually
from 2013
• 90,000 downloads from 100 countries in
2010
2. 2
Purposes of academic journals
• A stamp of quality. Publication in a peer
reviewed journal indicates an article is worth
reading.
• To disseminate research findings and stimulate
debate.
• An official record of knowledge and information.
A definitive version of an article that can be
catalogued, indexed, accessed and cited.
• Managing intellectual property rights and
permissions. Ensuring rights are properly
assigned between authors and publishers so
that permission for reproduction can be granted.
Functions of Journal Quality Lists
• Help authors decide what to read and
where to publish, especially for early
career researchers, and inter-disciplinary
research.
• Inform staffing decisions for appointment,
promotion, and reward.
• Inform library purchasing decisions.
• To aid internal and external reviews of
research activity and evaluation of outputs
3. 3
Types of Journal Quality List
• Institutional lists
• Derived lists extrapolated from ratings awarded
in assessment and audit e.g. the UK RAE
(Geary, Marriott & Rowlinson, 2004; Mingers,
Watson & Scaparra 2009).
• Peer surveys made on the basis of assessment
of peers in a field or sub-field.
• Citation studies based on the number of times
an average article in a journal is cited.
• Hybrid lists (Harvey, Kelly, Morris & Rowlinson,
2010; Harzing, 2011).
Commonly perceived problems of
Journal Quality Lists
• Wheat and chaff. Sometimes highly rated
journals publish poor quality work and low rated
journals publish high quality work.
– But this is not commonplace and journals can move
up and down ratings
• Special issues dilute editorial standards
– No evidence for 3 and 4 ABS rated journals
• New journals get lower ratings
– Need for a track record
• Citation impact factors are sufficient to measure
journal quality
– Impact factors are problematic as a standalone proxy
4. 4
Limitations of Citation Impact Factors
as a measure of journal quality
• Incomplete coverage. 459/821 journals in ABS List 2010
have an ISI citation impact factor for 2008.
•• Differences in epistemological traditions need to be
recognized. High citation impact results from repeated
inclusion of articles in referential chains
• Herding means that academics associate their work with
highly cited authors and highly cited journals, reinforcing
perceived superiority of highly cited journals
• Content bias means that journals featuring survey
articles, lit reviews, methodology and conceptual
development have higher citation impact that journals
publishing original research
• Game playing and differences in maturity between fields
– Established fields such as economics have higher citation rates
than newer fields such as tourism and hospitality
– The rules of the game in mature fields require citation of journals
in referential networks
Main features of the ABS List
• Provides an expert assessment of the quality of
empirical and theoretical research articles typically
published in an academic journal
• A consensus list that rests on general acceptance of the
fair and balanced view taken by the editors and panel
members
• Is not comprehensive but includes all core journals with
2 or more submissions for bus & mgt in UK RAE2008
plus limited others
• Ratings not fixed and will be reviewed biennially from
2010 (the next version is due 2013)
• The rating scale is not the same as the UK RAE and
makes no reference to ‘national’ and ‘international’
standards
5. 5
ABS List specification of Journal
Quality Standards
Quality
Rating
Meaning of Quality Rating No. and
(%)
4*
World Elite Journals - a small number of grade four journals recognized
worldwide as exemplars of excellence. Their high status acknowledged by
inclusion well regarded international journal quality lists.
22
(2.7%)
4 publish the most original and best executed research. Typically have high
submission and low acceptance rates. Papers heavily refereed. Generally have
the highest citation impact factors within their field.
72
(8.7%)
3 publish original and well executed research papers and are highly regarded.
Typically have good submission rates and are very selective. Papers are heavily
refereed. Have fair to good citation impact factors relative to others in their field,
230
(27.9%)
but not all journals in this category carry a citation Impact factor.
2 publish original research of an acceptable standard. Well regarded journal in its
field, papers are fully refereed according to accepted standards and conventions.
Have modest citation impact factors or do not have one at all.
295
(35.8%)
1 publish research of a recognized standard and are modest standard journals
Within their field. Papers refereed relatively lightly according to accepted
conventions. Few journals in this category carry a citation impact factor.
204
(24.8%)
Proportion of journals at each ABS grade
Grade ABS 2008 ABS 2009 ABS 2010
4 10.3 10.5 11.4
3 24.9 24.4 27.9
2 37.8 37.4 35.9
1 27.0 27.8 24.8
Total 1017 1033 825
6. 6
The ABS List has a highly consistent pattern of
correlation with other ranking schemes, RAE 2008
outcomes and citation impact factors
Table 5: Mean scores on RAE 2008 data by ABS 2010
Grade
Mean cites in
BMS
Mean outputs
GPA
Mean Overall
GPA
4 24.5 3.5 3.8
3 19.9 2.9 3.2
2 8.7 2.5 2.7
1 5.2 2.2 2.3
Total 12.7 2.6 2.9
Should the REF use The ABS List?
Taylor’s (fc) results from his analysis of the RAE 2008:
‘support the use of journal quality indicators in the
research assessment process. Requiring the panels to
take bibliometric indicators such as journal quality scores
into account should help not only to reduce their
workload but also to mitigate the implicit bias indicated
by the statistical analyses reported in this paper. This
process would also be more consistent with the
widespread use of journal quality indices such as the
ABS Journal Quality Guide by business schools in
assessing the quality of their own research, as they did
in preparation for the 2008 RAE.’
7. 7
Should the REF use The ABS List?
According to Taylor’s (fc) analysis, the estimated
bias in favour of the Russell Group was much
greater for the esteem score than for research
outputs:
‘This may be a consequence of the fact that the
existence of the ABS Guide could have helped
to moderate the panel’s judgements of the
quality of a department’s research output,
whereas it was less constrained in the case of
judgements about a department’s esteem.’
Should the REF use The ABS List?
(we was robbed in the RAE 2008!)
9. 9
ABS scores
450
400
350
300
250
200
150
cum ABS scores
QM08
Kings08
Leicester08
RoyalHoll08
StAndrews08
100
50
0
0 5 10 15 20 25 30 35 40 45 50
staff nos
Issues to consider if the Guide is to
become more European/International
• Separation from the UK Research Excellence
Framework (the REF)
– The REF provides a valuable publicly available data set
• Weighting of Web of Science citation impact factors
– Difficulty of using Thomson Reuters proprietary data
• Distinctiveness from other rankings and ratings
– e.g. Publish or Perish
• Identify or generate alternative sources of accessible
non proprietary data
•• Avoid being bound by an algorithm, while not
succumbing to lobbying from special interests
• Facilitate validation of a wide variety of European and
international business school missions
• Retain the principle of sub-field normalization, in
recognition that measurements such as impact factors
vary between fields
10. 10
References
Geary, J., Marriott, L., & Rowlinson, M. 2004. Journal rankings in business and
management and the 2001 Research Assessment Exercise in the UK.
British Journal of Management, 15(2): 95-141.
Harvey, C., Kelly, A., Morris, H., & Rowlinson, M. 2010. The Association of
Business Schools Academic Journal Quality Guide Version 4.
Harzing, A-W. 2011. Journal Quality List Thirty-eight Edition.
Mingers, J., Watson, K., & Scaparra, P. 2009. Estimating Business and
Management Journal Quality from the 2008 Research Assessment Exercise
in the UK, Kent Business School Working Paper Series.
Taylor, J. forthcoming. The Assessment of Research Quality in UK Universities:
Peer Review or Metrics? British Journal of Management