9,156 research outputs found
Reviewing, indicating, and counting books for modern research evaluation systems
In this chapter, we focus on the specialists who have helped to improve the
conditions for book assessments in research evaluation exercises, with
empirically based data and insights supporting their greater integration. Our
review highlights the research carried out by four types of expert communities,
referred to as the monitors, the subject classifiers, the indexers and the
indicator constructionists. Many challenges lie ahead for scholars affiliated
with these communities, particularly the latter three. By acknowledging their
unique, yet interrelated roles, we show where the greatest potential is for
both quantitative and qualitative indicator advancements in book-inclusive
evaluation systems.Comment: Forthcoming in Glanzel, W., Moed, H.F., Schmoch U., Thelwall, M.
(2018). Springer Handbook of Science and Technology Indicators. Springer Some
corrections made in subsection 'Publisher prestige or quality
A Relative Impact Ranking of Political Studies In Ireland
Against a background of the Irish governmentâs concerns with Key Performance Indicators (KPIs) and the British governmentâs wishes for a more quantitative Research Assessment Exercise (RAE), our study conducts a relative impact assessment of the study of politics, government, political science, and international relations in Ireland. Impact is measured as citations from the publications of permanent staff in eight Irish politics departments, based on data compiled in April 2008 from two leading academic indexes â ISIâs Web of Science and Scopus â as well as the now popular Google Scholar. We discuss some of the criticisms that naturally arise in a study of this nature. Then, following similar exercises in other disciplines (e.g. economics), we use the impact measures to compare and rank individual scholars as well as departments. We also explore the extent to which the choice of different indexes, and different measures, influences the results that we obtain. While there are differences, in particular between indexes based purely on articles and those that access books and other material, the results from the different indexes are strongly correlated.
Theory and Practice of Data Citation
Citations are the cornerstone of knowledge propagation and the primary means
of assessing the quality of research, as well as directing investments in
science. Science is increasingly becoming "data-intensive", where large volumes
of data are collected and analyzed to discover complex patterns through
simulations and experiments, and most scientific reference works have been
replaced by online curated datasets. Yet, given a dataset, there is no
quantitative, consistent and established way of knowing how it has been used
over time, who contributed to its curation, what results have been yielded or
what value it has.
The development of a theory and practice of data citation is fundamental for
considering data as first-class research objects with the same relevance and
centrality of traditional scientific products. Many works in recent years have
discussed data citation from different viewpoints: illustrating why data
citation is needed, defining the principles and outlining recommendations for
data citation systems, and providing computational methods for addressing
specific issues of data citation.
The current panorama is many-faceted and an overall view that brings together
diverse aspects of this topic is still missing. Therefore, this paper aims to
describe the lay of the land for data citation, both from the theoretical (the
why and what) and the practical (the how) angle.Comment: 24 pages, 2 tables, pre-print accepted in Journal of the Association
for Information Science and Technology (JASIST), 201
Creating a Comprehensive Review of the Literature
Research normally begins by doing a âreview of the literatureâ to see what has already been written and to determine âgapsâ in the literature for further research. This handout reviews ways to search for books, scholarly articles, dissertations, and grey literature on any topic using our library subscription resources
Scholarly Metrics Baseline: A Survey of Faculty Knowledge, Use, and Opinion About Scholarly Metrics
This article presents the results of a faculty survey conducted at the University of Vermont during academic year 2014-2015. The survey asked faculty about: familiarity with scholarly metrics, metric seeking habits, help seeking habits, and the role of metrics in their departmentâs tenure and promotion process. The survey also gathered faculty opinions on how well scholarly metrics reflect the importance of scholarly work and how faculty feel about administrators gathering institutional scholarly metric information. Results point to the necessity of understanding the campus landscape of faculty knowledge, opinion, importance, and use of scholarly metrics before engaging faculty in further discussions about quantifying the impact of their scholarly work
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