New Directions in Information Organization (Library and Information Science v. 7)

2014 ◽  
Vol 63 (8/9) ◽  
pp. 703-704
Keyword(s):  
Information Science ◽  
Information Organization ◽  
Library And Information Science ◽  
New Directions

Evidence-based practice and web usability assessment

2014 ◽  
Vol 30 (1) ◽  
pp. 11-14 ◽  
Author(s):  
Frank Cervone
Keyword(s):  
Information Science ◽  
Evidence Based Practice ◽  
Information Organization ◽  
Library And Information Science ◽  
Evidence Based ◽  
User Centered Design ◽  
Content Type ◽  
Web Usability ◽  
Usability Assessment ◽  
Fundamental Building Block

Purpose – Issues related to usability and creating effective and engaging user experiences on the internet continue to vex libraries and information agencies. Many organizations still do not have an on-going, sustainable usability assessment program in place. This should be a cause for concern because usability programs serve as a quality-control check on our ability to provide quality information. This is why evidence-based information practice is so important as a fundamental building block of a usability assessment plan. This paper aims to address these issues. Design/methodology/approach – Through a review of the basic principles of evidence-based practice, the author puts into context how a web assessment methodology could be put in place at a library or information organization. Findings – Using the principles of evidence-based practice, as well as a user-centered design perspective, can greatly enhance the ability of libraries and information organizations to develop effective web usability assessment programs. Originality/value – While there has been a significant body of work in library and information science related to implementing evidence-based practice (EBP), there has been little specifically written about applying EBP to web usability assessment. This article fills that gap in the literature.

scholarly journals Teaching a Cataloging/Metadata Course in a Changing World: Experience and Reflection

2019 ◽  
Vol 4 (2) ◽  
pp. 111
Author(s):  
Suzhen Chen ◽  
Margaret Joyce
Keyword(s):  
Career Paths ◽  
Information Science ◽  
Information Organization ◽  
Library And Information Science ◽  
Emerging Trends ◽  
University Of Hawai'i ◽  
Essential Knowledge ◽  
Future Direction ◽  
The University

In this paper, we explore the most essential knowledge and skills to impart in an introductory-level cataloging and metadata course. We use the basic cataloging and metadata class in the University of Hawai‘i at Mānoa Library and Information Science Program as a case study, sharing our experiences, thoughts, and planned future direction in teaching cataloging, classification, metadata, and information organization. We investigate what University of Hawai‘i at Mānoa Library and Information Science (LIS) students expect to learn from the class, as well as how they perceive knowledge of and skills in cataloging and metadata affecting their career paths. We also inquire into topics that the students are interested in exploring related to cataloging and metadata. We examine emerging trends and evaluate which information and skills are most useful for LIS students and new librarians to learn for their library careers. These ideas are built upon our own experiences teaching these topics. This article synthesizes literature review, observation of trends within cataloging and metadata, and surveys taken by students enrolled in the course.                                              

scholarly journals Applications of inferential statistical methods in library and information science

2018 ◽  
Vol 2 (2) ◽  
pp. 103-120
Author(s):  
Jin Zhang ◽  
Yanyan Wang ◽  
Yuehua Zhao ◽  
Xin Cai
Keyword(s):  
Statistical Methods ◽  
Quantitative Research ◽  
Information Dissemination ◽  
Information Science ◽  
Information Organization ◽  
Library And Information Science ◽  
Research Papers ◽  
Information Selection ◽  
Regression Methods ◽  
And Control

AbstractResearch methods play an extremely important role in studies. Statistical methods are fundamental and vital for quantitative research. The authors of this paper investigated the research papers that used statistical methods including parametric inferential statistical methods, nonparametric inferential statistical methods, predictive statistical correlation methods, and predictive statistical regression methods in library and information science and examined the connections and interactions between statistical methods and their application areas including information creation, information selection and control, information organization, information retrieval, information dissemination, and information use. Both an inferential statistical method and graphic clustering visualization method were employed to explore the relationships between statistical methods and application areas and reveal the hidden interaction patterns. As a result, 1821 research papers employing statistical methods were identified among the papers published in six major library and information science journals from 1999 to 2017. The findings showed that application areas affected the types of statistical methods utilized. Studies in information organization and information retrieval tended to employ parametric and nonparametric inferential methods, while correlation and regression methods were applied more in studies in information use, information dissemination, information creation, and information selection and control field. These findings help researchers better understand the statistical method orientation of library and information science studies and assist educators in the field to develop applicable quantitative research methodology courses.

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