Integrated information literacy instruction throughout graduate school supports students as they transition into the role of researcher, but information literacy instruction aimed specifically at mathematics graduate students is not widely studied. This paper reports on the results of a survey of mathematics librarians, which found that a majority of respondents are teaching information literacy classes to mathematics graduate students. Further analysis explores the demographics of both the librarians and students, the skills and resources taught, whether there was faculty-librarian collaboration, and if instruction was assessed.
{"title":"Information Literacy Support for Mathematics Graduate Students","authors":"Jenna Thomson","doi":"10.29173/istl2687","DOIUrl":"https://doi.org/10.29173/istl2687","url":null,"abstract":"Integrated information literacy instruction throughout graduate school supports students as they transition into the role of researcher, but information literacy instruction aimed specifically at mathematics graduate students is not widely studied. This paper reports on the results of a survey of mathematics librarians, which found that a majority of respondents are teaching information literacy classes to mathematics graduate students. Further analysis explores the demographics of both the librarians and students, the skills and resources taught, whether there was faculty-librarian collaboration, and if instruction was assessed.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49152722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bibliometrics is increasingly being used by the knowledge community and librarians to easily analyze patterns in knowledge. In the field, the use of data from databases that provide bibliometric information is not always completely clean, so pre-processing is required. Several previous studies have shown that bibliometric analysis begins with a simple pre-processing step. The goal of this research is to use text mining to perform pre-processing to find the basic terms of the keywords that appear – to essentially construct a controlled vocabulary for a bibliographic dataset. The method used in this study is cleaning keywords with the stemming method using RapidMiner software. Bibliometrix was used to compare the results. A total of 85 keywords were combined into basic words. Using the built process, this study discovers differences in the network built between raw data and data that has been pre-processed, resulting in differences in the analysis that will be produced. The built process can also be reused in a variety of real-world situations.
{"title":"Prior Steps into Knowledge Mapping: Text Mining Application and Comparison","authors":"Faizhal Arif Santosa","doi":"10.29173/istl2736","DOIUrl":"https://doi.org/10.29173/istl2736","url":null,"abstract":"Bibliometrics is increasingly being used by the knowledge community and librarians to easily analyze patterns in knowledge. In the field, the use of data from databases that provide bibliometric information is not always completely clean, so pre-processing is required. Several previous studies have shown that bibliometric analysis begins with a simple pre-processing step. The goal of this research is to use text mining to perform pre-processing to find the basic terms of the keywords that appear – to essentially construct a controlled vocabulary for a bibliographic dataset. The method used in this study is cleaning keywords with the stemming method using RapidMiner software. Bibliometrix was used to compare the results. A total of 85 keywords were combined into basic words. Using the built process, this study discovers differences in the network built between raw data and data that has been pre-processed, resulting in differences in the analysis that will be produced. The built process can also be reused in a variety of real-world situations.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44587630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study explores the science, technology, engineering, and mathematics (STEM) community college faculty’s perspectives on the Association of College and Research Libraries’ (ACRL) Framework for Information Literacy for Higher Education (Framework). Previous studies of the Framework implementation have primarily focused on the librarians’ perspectives and efforts. This pilot project seeks to bridge the gap in the study of STEM faculty’s views regarding the Framework in a community college setting. STEM faculty were asked to rate the importance of information literacy knowledge practices based on the Framework in the spring semester of 2021. The paper discusses STEM faculty’s ratings of the knowledge practices from each frame. These preliminary findings can be used by STEM librarians and STEM faculty, as well as administrators in charge of STEM programs or curricula at community colleges, for (re)designing information literacy instruction, integrating information literacy in programs, or assessing information literacy learning outcomes that utilize frames from the Framework.
{"title":"Community College STEM Faculty and the ACRL Framework: A Pilot Study","authors":"Miseon Kim, Dugwon Seo, M. C. Damas","doi":"10.29173/istl2714","DOIUrl":"https://doi.org/10.29173/istl2714","url":null,"abstract":"This study explores the science, technology, engineering, and mathematics (STEM) community college faculty’s perspectives on the Association of College and Research Libraries’ (ACRL) Framework for Information Literacy for Higher Education (Framework). Previous studies of the Framework implementation have primarily focused on the librarians’ perspectives and efforts. This pilot project seeks to bridge the gap in the study of STEM faculty’s views regarding the Framework in a community college setting. STEM faculty were asked to rate the importance of information literacy knowledge practices based on the Framework in the spring semester of 2021. The paper discusses STEM faculty’s ratings of the knowledge practices from each frame. These preliminary findings can be used by STEM librarians and STEM faculty, as well as administrators in charge of STEM programs or curricula at community colleges, for (re)designing information literacy instruction, integrating information literacy in programs, or assessing information literacy learning outcomes that utilize frames from the Framework.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42171520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
There are numerous studies in the engineering literature about standards, though practical information on standards collection management in libraries is somewhat limited. This study builds upon previous studies but with both a broader scope and more granularity. The purpose is to fill gaps and add to the existing literature on standards collections and use. The workflow for collection development and management practices for standards, like other special resources, are according to each institution's preferences, clientele, campus culture, budget, and needs. To deepen the understanding of standards management in libraries, this study uses a larger sample size than previous studies found in the literature, through a survey of 336 academic libraries in the United States at institutions offering four or more Accreditation Board for Engineering and Technology (ABET) accredited engineering programs. The survey includes questions in areas that have not been studied before, such as institutional size, the highest degree offered, collecting intensity, and demand levels. Findings confirm some results of previous studies, but also show some new and unexpected findings.
{"title":"One Size Does Not Fit All: Common Practices for Standards Collections and Management","authors":"Ibironke Lawal, Mark England","doi":"10.29173/istl2626","DOIUrl":"https://doi.org/10.29173/istl2626","url":null,"abstract":"There are numerous studies in the engineering literature about standards, though practical information on standards collection management in libraries is somewhat limited. This study builds upon previous studies but with both a broader scope and more granularity. The purpose is to fill gaps and add to the existing literature on standards collections and use. The workflow for collection development and management practices for standards, like other special resources, are according to each institution's preferences, clientele, campus culture, budget, and needs. To deepen the understanding of standards management in libraries, this study uses a larger sample size than previous studies found in the literature, through a survey of 336 academic libraries in the United States at institutions offering four or more Accreditation Board for Engineering and Technology (ABET) accredited engineering programs. The survey includes questions in areas that have not been studied before, such as institutional size, the highest degree offered, collecting intensity, and demand levels. Findings confirm some results of previous studies, but also show some new and unexpected findings.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47570372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Students often come to college with a limited understanding of how to ethically incorporate and cite source materials in their writing, and this is commonly cited as the leading reason for plagiarism. Studies have shown that students in STEM are more apt to plagiarize as compared to students in the humanities or social sciences, so they are an ideal population for looking at causes of plagiarism. The goal of this study was to examine college STEM student self-reported frequencies of plagiarism, ability to recognize instances of plagiarism, and justifications for why certain acts of plagiarism may or may not be acceptable. Surveys were collected from 965 STEM students taking an introductory biology class. The majority of freshmen surveyed admitted to some degree of plagiarism and found it difficult to recognize certain types of plagiarism. Juniors and seniors were less likely to report any form of plagiarism and are better able to recognize specific types, supporting previous work that point at lack of experience as the reason for most plagiarism in college. However, students at all levels were confused about the acceptability of some examples of plagiarism, such as reusing the same paper in multiple classes and some students point to external factors like grading practices in previous courses as motivators for certain types of plagiarism. Fully understanding where students still struggle to recognize plagiarism and their motivations for committing certain types of plagiarism will help in creating strategies to mitigate this common problem.
{"title":"Exploring Factors Contributing to Plagiarism as Students Enter STEM Higher Education Classrooms","authors":"Michelle L. Vieyra, Kari D. Weaver","doi":"10.29173/istl2724","DOIUrl":"https://doi.org/10.29173/istl2724","url":null,"abstract":"Students often come to college with a limited understanding of how to ethically incorporate and cite source materials in their writing, and this is commonly cited as the leading reason for plagiarism. Studies have shown that students in STEM are more apt to plagiarize as compared to students in the humanities or social sciences, so they are an ideal population for looking at causes of plagiarism. The goal of this study was to examine college STEM student self-reported frequencies of plagiarism, ability to recognize instances of plagiarism, and justifications for why certain acts of plagiarism may or may not be acceptable. Surveys were collected from 965 STEM students taking an introductory biology class. The majority of freshmen surveyed admitted to some degree of plagiarism and found it difficult to recognize certain types of plagiarism. Juniors and seniors were less likely to report any form of plagiarism and are better able to recognize specific types, supporting previous work that point at lack of experience as the reason for most plagiarism in college. However, students at all levels were confused about the acceptability of some examples of plagiarism, such as reusing the same paper in multiple classes and some students point to external factors like grading practices in previous courses as motivators for certain types of plagiarism. Fully understanding where students still struggle to recognize plagiarism and their motivations for committing certain types of plagiarism will help in creating strategies to mitigate this common problem.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44920092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prior research on information literacy instruction in engineering graduate programs rarely considers course instructor perspectives, and instead only uses student feedback to evaluate the efficacy of information literacy instruction. This study documents the authors’ efforts to evolve the library curriculum to motivate student learning and meet the course needs. Data collected from the student survey and course instructor questionnaire found that most students reported that the instruction was engaging and satisfying, but evaluations of the usefulness of the instruction were mixed. The course instructor was satisfied with the students’ overall work in information gathering though found their project reports unsatisfactory in terms of report writing and critical thinking. The findings shed light on student needs and faculty expectations of engineering project-based graduate courses.
{"title":"Information Literacy Instruction in Engineering Graduate Courses: Instructional Design and Reflection","authors":"Shiyi Xie, Eric Savory","doi":"10.29173/istl2725","DOIUrl":"https://doi.org/10.29173/istl2725","url":null,"abstract":"Prior research on information literacy instruction in engineering graduate programs rarely considers course instructor perspectives, and instead only uses student feedback to evaluate the efficacy of information literacy instruction. This study documents the authors’ efforts to evolve the library curriculum to motivate student learning and meet the course needs. Data collected from the student survey and course instructor questionnaire found that most students reported that the instruction was engaging and satisfying, but evaluations of the usefulness of the instruction were mixed. The course instructor was satisfied with the students’ overall work in information gathering though found their project reports unsatisfactory in terms of report writing and critical thinking. The findings shed light on student needs and faculty expectations of engineering project-based graduate courses.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46078741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The number of systematic reviews (SRs) published continues to grow, and the methodology of evidence synthesis has been adopted in many fields outside of its traditional health sciences origins. SRs are now published in fields as wide ranging as business, environmental science, education, and engineering; however, there is little research looking at the nature and prevalence of non-health sciences systematic reviews (non-HSSRs). In this study, a large sample from the Scopus database was used as the basis for analyzing SRs published outside the health sciences. To map the current state of non-HSSRs, their characteristics were investigated and the subject areas publishing them determined. The results showed that a majority of the non-HSSRs examined were lacking at least one characteristic commonly expected in health sciences systematic review (HSSRs) methodology. The broad subject areas publishing non-HSSRs fall mostly within the social sciences and physical sciences.
{"title":"Who's Publishing Systematic Reviews? An Examination Beyond the Health Sciences","authors":"M. Slebodnik, K. Pardon, Janice Hermer","doi":"10.29173/istl2671","DOIUrl":"https://doi.org/10.29173/istl2671","url":null,"abstract":"The number of systematic reviews (SRs) published continues to grow, and the methodology of evidence synthesis has been adopted in many fields outside of its traditional health sciences origins. SRs are now published in fields as wide ranging as business, environmental science, education, and engineering; however, there is little research looking at the nature and prevalence of non-health sciences systematic reviews (non-HSSRs). In this study, a large sample from the Scopus database was used as the basis for analyzing SRs published outside the health sciences. To map the current state of non-HSSRs, their characteristics were investigated and the subject areas publishing them determined. The results showed that a majority of the non-HSSRs examined were lacking at least one characteristic commonly expected in health sciences systematic review (HSSRs) methodology. The broad subject areas publishing non-HSSRs fall mostly within the social sciences and physical sciences.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46166699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper we examine practical applications of the Archipelago Commons software for science and technology libraries through the lens of a pilot project conducted within the Libraries at Rensselaer Polytechnic Institute in 2021. This pilot project uses Archipelago for data curation, demonstrates Archipelago’s value for sci-tech library applications, and highlights the technology experimentation that occurs during system migrations. The pilot involved deployment of a local installation of Archipelago and use of the Archipelago Multi-Importer (AMI) to create a digital collection of engineering drawings. The pilot results demonstrate the value of Archipelago as a quick and lightweight “app” for any small sci-tech library that wants to showcase their digital collections or needs to quickly replace a legacy system. After this pilot we used the same approach detailed in this paper to migrate all 4,168 images from our old database to Archipelago. We conclude that Archipelago has value to sci-tech libraries and can be scaled to GLAM institutions of any size, with data as simple or robust as necessary for an institution’s local needs.
{"title":"Archipelago Commons: Using the Archipelago and AMI Software to Provide Access to Rensselaer Polytechnic Institute's Engineering Drawings, a Pilot Project","authors":"B. McCarthy","doi":"10.29173/istl2717","DOIUrl":"https://doi.org/10.29173/istl2717","url":null,"abstract":"In this paper we examine practical applications of the Archipelago Commons software for science and technology libraries through the lens of a pilot project conducted within the Libraries at Rensselaer Polytechnic Institute in 2021. This pilot project uses Archipelago for data curation, demonstrates Archipelago’s value for sci-tech library applications, and highlights the technology experimentation that occurs during system migrations. The pilot involved deployment of a local installation of Archipelago and use of the Archipelago Multi-Importer (AMI) to create a digital collection of engineering drawings.\u0000The pilot results demonstrate the value of Archipelago as a quick and lightweight “app” for any small sci-tech library that wants to showcase their digital collections or needs to quickly replace a legacy system. After this pilot we used the same approach detailed in this paper to migrate all 4,168 images from our old database to Archipelago. We conclude that Archipelago has value to sci-tech libraries and can be scaled to GLAM institutions of any size, with data as simple or robust as necessary for an institution’s local needs.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44951740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martha Zuluaga, Sebastián Robledo, O. Arbelaez-Echeverri, Germán A. Osorio-Zuluaga, N. Duque-Méndez
Tree of Science (ToS) is an integrated web-based platform for a comprehensive analysis of scientific literature. ToS is designed to facilitate finding relevant literature and can be used by students, researchers, and academics. Based on graph theory metrics, this tool visualizes the works in a knowledge field as a tree where the roots are classic articles, the trunk represents those articles that allow the area to grow, and the leaves are the recently published articles. This article provides a description of how to search, format, and upload the data and identify significant literature in a specific research area. Finally, a brief description of how the Tree of Science works.
{"title":"Tree of Science - ToS: A Web-Based Tool for Scientific Literature Recommendation. Search Less, Research More!","authors":"Martha Zuluaga, Sebastián Robledo, O. Arbelaez-Echeverri, Germán A. Osorio-Zuluaga, N. Duque-Méndez","doi":"10.29173/istl2696","DOIUrl":"https://doi.org/10.29173/istl2696","url":null,"abstract":"Tree of Science (ToS) is an integrated web-based platform for a comprehensive analysis of scientific literature. ToS is designed to facilitate finding relevant literature and can be used by students, researchers, and academics. Based on graph theory metrics, this tool visualizes the works in a knowledge field as a tree where the roots are classic articles, the trunk represents those articles that allow the area to grow, and the leaves are the recently published articles. This article provides a description of how to search, format, and upload the data and identify significant literature in a specific research area. Finally, a brief description of how the Tree of Science works.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41916299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maps have a long history of being used as sources to track disease outbreaks, link causes and effects of disease, combat misinformation, present ideas and improve patient care. This webliography is a compendium of thematic maps, including health metrics, risk factors, infectious diseases, cancers, chronic diseases, and psychiatric disorders. Maps were gathered after evaluating data for reliability and currency. These selective epidemiology resources may aid public health professionals, medical practitioners, researchers, and librarians, who serve an information-seeking clientele interested in health-related quality of life.
{"title":"Maps for Health Metrics: An Epidemiology Resource Webliography","authors":"R. DeBoer, S. E. Aber","doi":"10.29173/istl2694","DOIUrl":"https://doi.org/10.29173/istl2694","url":null,"abstract":"Maps have a long history of being used as sources to track disease outbreaks, link causes and effects of disease, combat misinformation, present ideas and improve patient care. This webliography is a compendium of thematic maps, including health metrics, risk factors, infectious diseases, cancers, chronic diseases, and psychiatric disorders. Maps were gathered after evaluating data for reliability and currency. These selective epidemiology resources may aid public health professionals, medical practitioners, researchers, and librarians, who serve an information-seeking clientele interested in health-related quality of life.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46023316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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