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Berry, Teresa U.; Williamson, Jeanine M. – Issues in Science and Technology Librarianship, 2021
To meet the research, teaching, and learning needs of their users, academic librarians, particularly those functioning as subject liaisons, are expected to know the institution's curriculum and research areas so that they can help shape library strategies to meet those needs and to connect users to the library's resources and services. The present…
Descriptors: College Faculty, Engineering, Research, Academic Libraries
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Cusker, Jeremy – Issues in Science and Technology Librarianship, 2018
In 2012, this author published a paper describing a method for using the raw data from Web of Science to examine the journals cited by any given group of researchers and then compare that list to lists of 'top journals' of similar disciplines. It was not a straightforward method to use and required a great deal of effort and spreadsheet work by a…
Descriptors: Citation Analysis, Citations (References), Bibliometrics, Evaluation Methods
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Pouchard, Line; Bracke, Marianne Stowell – Issues in Science and Technology Librarianship, 2016
This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…
Descriptors: Agricultural Education, Case Studies, Data Processing, Data
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Scalfani, Vincent F. – Issues in Science and Technology Librarianship, 2017
Programmatic text analysis can be used to understand patterns and reveal trends in data that would otherwise be difficult or impossible to uncover with manual coding methods. This work uses programmatic text analysis, specifically term frequency counts, to study nearly 10,000 chemistry thesis and dissertation titles from 1911-2015. The thesis and…
Descriptors: Chemistry, Theses, Doctoral Dissertations, Scientific Research
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Leonard, Michelle F.; Haas, Stephanie C.; Kisling, Vernon N. – Issues in Science and Technology Librarianship, 2010
As academic libraries are increasingly supported by a matrix of database functions, the use of data mining and visualization techniques offer significant potential for future collection development and service initiatives based on quantifiable data. While data collection techniques are still not standardized and results may be skewed because of…
Descriptors: Academic Libraries, Research Libraries, Bibliometrics, Data Analysis
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Liu, Rosa; Allmang, Nancy – Issues in Science and Technology Librarianship, 2008
This article describes a campus-wide customer satisfaction survey undertaken by the National Institute of Standards and Technology (NIST) Research Library in 2007. The methodology, survey instrument, data analysis, results, and actions taken in response to the survey are described. The outcome and recommendations will guide the library both…
Descriptors: Research Libraries, Data Analysis, Surveys, Evaluation