scholarly journals Electronic Resources and Web Sites: Replacing a Back-end Database with Innovative's Electronic Resource Management

2005 ◽  
Vol 24 (4) ◽  
pp. 163 ◽  
Author(s):  
Laura Tull

<span>In the fall of 2002, Ohio State University along with the University of Washington, the University of Western Australia, Washington State University, and Glasgow University entered into a development partnership with Innovative Interfaces. The goal was to develop a module to manage electronic resources, integrated into Innovative’s Millennium library system. The product, Electronic Resource Management (ERM), became available in 2004 and is based on the work of the Digital Library Federation Electronic Resources Management Initiative. This article focuses on one aspect of ERM, the integration of the module with the Web OPAC, and describes how the Ohio State University Libraries replaced a back-end database with ERM to support lists of electronic resources on their Web site.</span>

2021 ◽  
Vol 65 (1) ◽  
pp. 23
Author(s):  
Anita K. Foster

The Ohio State University Libraries’ Serials and Electronic Resources team tracked reports of problems with electronic resources through a ticketing system, but had not used the system functions to articulate the work involved in supporting such resources. When a new Electronic Resources Officer was hired, the librarian reviewed the type of statistics provided to management and identified an opportunity to more fully document reported problem and staff effort. With the help of team members, a mechanism was created to highlight different types of problems through the application of a controlled vocabulary developed specifically for that environment. Once the vocabulary was available and in use, after some time, terms were evaluated for efficacy, and for how the use of the vocabulary enabled analysis of the trouble-shooting process. Following an analysis by the Electronic Resources Officer of the terms after being in use for some time, the ways that staff were involved in the workflow was changed, leading to faster responses and more consistent communication of information to patrons and vendors. This paper describes the process of developing the controlled vocabulary, the insights found following implementation, and the changes to the workflow that came from that analysis.


2003 ◽  
Vol 7 (2) ◽  
pp. 85-92
Author(s):  
Petra L. Graham ◽  
William I. Notz ◽  
Dennis K. Pearl ◽  
Elizabeth A. Stasny

Electronic resources aid in the teaching and learning of statistics by providing data that may be used interactively by teachers and students. By interacting with the data students are encouraged to discover knowledge and thereby gain a deeper understanding of statistical concepts. The Electronic Encyclopedia of Statistical Examples and Exercises (EESEE) is an electronic resource that includes over 80 ‘real-world’ examples about the uses and abuses of statistics. These examples are drawn from published and printed media and the diverse range of subject-matter areas make it suitable for use in any statistics course.


2016 ◽  
Vol 1 (5) ◽  
pp. 4-12
Author(s):  
David P. Kuehn

This report highlights some of the major developments in the area of speech anatomy and physiology drawing from the author's own research experience during his years at the University of Iowa and the University of Illinois. He has benefited greatly from mentors including Professors James Curtis, Kenneth Moll, and Hughlett Morris at the University of Iowa and Professor Paul Lauterbur at the University of Illinois. Many colleagues have contributed to the author's work, especially Professors Jerald Moon at the University of Iowa, Bradley Sutton at the University of Illinois, Jamie Perry at East Carolina University, and Youkyung Bae at the Ohio State University. The strength of these researchers and their students bodes well for future advances in knowledge in this important area of speech science.


2014 ◽  
Vol 15 (1) ◽  
pp. 78-80
Author(s):  
Amy Chen

Trends in Rare Books and Documents Special Collections Management, 2013 edition by James Moses surveys seven special collection institutions on their current efforts to expand, secure, promote, and digitize their holdings. The contents of each profile are generated by transcribed interviews, which are summarized and presented as a case study chapter. Seven special collections are discussed, including the Boston Public Library; AbeBooks; the University of Illinois at Urbana-Champaign; Washington University of St. Louis; the Archives and Rare Books Library, University of Cincinnati; the Rare Books and Manuscript Library at The Ohio State University; and the Manuscript, Archives, and Rare . . .


Author(s):  
Adebayo Muritala Adegbore ◽  
Monsuru Omotayo Quadri ◽  
Oyekanmi Rasaq Oyewo

This chapter discusses a theoretical approach to the adoption of electronic resource management systems in Nigeria university libraries. The nature of electronic resources calls for a special way of managing it thereby the invention and adoption of electronic resource management systems (ERMS). However, observation revealed that Nigerian libraries have yet to largely adopt it. It is therefore necessary to theoretically outline the factors promoting adoption of new technologies, in order for Nigerian libraries to take a cue. This chapter proposes a theoretical approach to the adoption of ERMS in Nigerian libraries.


2020 ◽  
Vol 81 (10) ◽  
pp. 490
Author(s):  
Sandra Aya Enimil

Digital collections serve as one of the many vehicles for cultural heritage institutions to highlight and display digitized material from special and curated collections. Many institutions have long relied on fair use to make digitized content from their collections openly available online. In recent years, after researching collections, some institutions have specifically distinguished public domain content. These institutions took time and resources to enhance their digital collections with rights information. Reassessing and identifying rights status is worth the time and resources because providing this metadata allows visitors to make informed decisions about reuse.


Author(s):  
Ben R. Craig ◽  
Thomas M. Phelan ◽  
Jan-Peter Siedlarek ◽  
Jared Steinberg

We compare two types of models used to predict the spread of the coronavirus, both of which have been used by government officials and agencies. We describe the nature of the difference between the two approaches and their advantages and limitations. We compare examples of each type of model—the University of Washington IHME or “Murray” model, which follows a curve-fitting approach, and the Ohio State University model, which follows a structural approach.


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