Search results

The purpose of this paper is to give an overview of the Jisc and Higher Education Statistics Agency (HESA) Library Data Labs project and its outputs. This collaboration involved bringing together cross-institutional library teams to produce proof of concept data-visualised dashboards using library analytics data that could be made available to others via the Heidi Plus service.

The teams used an agile approach, which adapted the agile methodology for non-technical and disparate team members. The key agile elements were followed, including the Scrum approach, whereby teams had a product owner, several development team members, a data wrangler and a scrum master. Many of the dashboards took inspiration from some of the earlier Jisc work on library analytics.

A wide variety of proof of concept dashboards were created addressing a range of library issues. These fell into two main categories for the cross-institutional teams, namely, comparing the Society of College, National and University Libraries (SCONUL) annual statistics results against the National Student Survey (NSS) data and collection management and analysis.

Some of the HESA data were potentially sensitive. In effect, this created a walled garden as some of the data were not designed for sharing. Furthermore, the data that the Jisc team used were restricted by publisher agreements, meaning that specific institutions’ usage could not be identified to others.

The paper provides insight into the Library Data Labs project and discusses a number of implications from the outcomes of the project. These are now being investigated by HESA, Jisc and individual institutions.

Fee‐based electronic resources such as full‐text journals, databases, abstracts, and indexes are widely available for library users. However, scholarly books and reference sources are usually not available in electronic format, and particular disciplines are not significantly represented by available electronic sources. Traditional document delivery serves as a complement to electronic resources, and offers patrons timely access to materials not available in electronic format. The data represent document delivery requests during the academic years 1997‐1999 at the Policy Sciences and Economics Library (PSEL), a branch library of the Texas A&M University General Libraries. The requests were sorted by academic departments, user types, call numbers, and type of material. The statistics served two primary purposes. First, frequently requested items were ordered for the library’s permanent collection. Second, the data were compared to electronic resource usage statistics to determine which resources best serve the patrons. The statistics assisted the library administrators in making collection management decisions and projected short‐ and long‐term budgetary needs.

To provide a review of the log analysis studies of use and users of scholarly electronic journals.

The advantages and limitations of log analysis are described and then past studies of e‐journals' use and users that applied this methodology are critiqued. The results of these studies will be very briefly compared with some survey studies. Those aspects of online journals' use and users studies that log analysis can investigate well and those aspects that log analysis can not disclose enough information about are highlighted.

The review indicates that although there is a debate about reliability of the results of log analysis, this methodology has great potential for studying online journals' use and their users' information seeking behaviour.

This paper highlights the strengths and weaknesses of log analysis for studying digital journals and raises a couple of questions to be investigated by further studies.

Academic libraries have been moving toward a culture of assessment by curating data and making future decisions based on these data. Managing all of the data collection can be a cumbersome task with heavy time commitments. For technical services departments, this culture shift presents new challenges for management of data, job descriptions, and workflows or procedures. Pennsylvania College of Technology's Madigan Library welcomes these challenges by recognizing the goals of its institution to create critical thinking students of the twenty-first century by assessing the effectiveness of library resources, especially ones that can be accessed in a digital format. The purpose of this chapter is to illustrate the various quantitative and qualitative methods a library can incorporate to collect data of e-resources, organize that data into comprehensible formats, and share results and make recommendations for future collections in an ongoing, holistic assessment format. Following the college's curriculum goals, this chapter will show how the Madigan Library collects data and assesses e-resources, online teaching resources, acquisitions workflows, and other aspects of the library with ongoing assessment and data collection. Managing data and making decisions within these departments are discussed.

The ELINOR electronic library system is a well integrated, fully functioning system implemented at De Montfort University in 1993. The system currently contains the full contents of some 35 000‐page course materials assisting the teaching and learning of one undergraduate course. The core software for the system is PixTex/EFS, a free text retrieval system with well integrated imaging functions. A usage statistics collection and management subsystem and a printing control subsystem were developed in‐house later for copyright management and other management purposes. This paper presents the various aspects of the ELINOR electronic library system including its database, browsing, searching, printing, document capturing, managing, architecture, the user aspect, and the pros and cons of the system.

The purpose of the paper is to describe the practical experience of managing e‐books in an academic library.

An overview of the three main e‐book collections used (netLibrary, Taylor & Francis, and Ebook Library via Dawson) is provided, along with details such as the acquisition, cataloguing and maintenance of e‐books; funding, licensing and authentication; varying interfaces; publicity, promotion and user education; subject coverage, statistics and usage.

Variations in approach and services by the suppliers of e‐books can provide challenges for those managing e‐books.

The paper provides practical details of managing e‐books in an academic library that might be of relevance to others.

The purpose of this paper is to explore the status of institutional repositories (IRs) in the South Asian region. The various characteristic features of IRs are studied.

Open directory of open access repositories (DOAR) as a data-gathering tool was consulted for extracting the desired data.

India, Sri Lanka and Bangladesh lead other South Asian nations in terms of IRs count. Majority of the IRs are operational in nature with higher number of operational IRs from India. In terms of record count, India leads the list. “Journal articles” outscore other content type and majority of the IRs have OAI-PMH as their base URL. DSpace stays a prioritized software for content management in IRs. Majority of the IRs have not defined their content management policies. English stays a prioritized language of the content dotting the South Asian IRs and majority of the IRs not providing usage statistics. A good score of IRs has incorporated Web 2.0 tools in them with RSS as the preferred Web 2.0 tool. A good count of the IRs has not customized their interface. Majority of the IRs have interface in two languages.

The main limitation of the study is that the findings of the research are based on the data collected through the repositories indexed by Open DOAR.

The study tries to explore the characteristic features of IRs from the South Asian region.

The Moravian Library has noted a long-term decline in the total number of visitors and the number of books either lent or used for reference, a phenomenon, which is generally explained by the increased availability of digitised books and a wider selection of electronic services in general. This paper aims to examine whether this is indeed the case, comparing the usage of the physical and digital libraries. The study also examines whether all the elements of library usage change accordingly with the digital transformation of the library’s services, what are the actual implications of this trend for research libraries in general, determining an ideal model for such a library; it proposes possible solutions to the challenges digital transformation brings about. At the same time, the study attempts to answer the question whether the overall number of library users is actually decreasing or increasing and what impact digital transformation has on the reach of library services.

Comparative analysis of data with offline usage statistics on one hand and data obtained via backend logging and Google analytics on the other, and an evaluation of a questionnaire survey among digital library users.

The data analysis demonstrates that it is not only possible but also even desirable, to gradually replace traditional library services with a digital infrastructure without major complications.

The case study provides statistically substantiated examples of a successful partial digital transformation in a research library in the Czech Republic.

As libraries are developing a larger Web presence, issues regarding the utility, accessibility, and impact of the usage of their networked resources and services are gaining critical importance. The need to assess systematically the networked electronic services and resources is great as increasing amounts of financial resources are dedicated to the Web presence of libraries. This paper aims to address this issue.

This project proposes to measure the impact of networked electronic services, building on MINES for Libraries^®, in a scalable way across libraries and consortia to enhance digital library service quality and impact on learning by enabling the future allocation of resources to areas of user‐identified need. Short, standardized web surveys are placed at the point‐of‐use of networked electronic resources and services through a network assessment infrastructure that uses contemporary mechanisms of authentication and access, such as EZproxy, openURL, Shibboleth, federated searching and others as modules to interface with ARL's StatsQUAL^®. A valid and reliable sampling method is proposed.

Point‐of‐use web surveys hold considerable promise as key tools in the assessment toolkit libraries may deploy to improve the research, teaching, and learning outcomes of their users.

This project enhances and deepens the information gained from vendor‐supplied data.

The developments described will make it easier for libraries to assess the usage of networked electronic resources and services.

The purpose of this paper is to test a multi‐dimensional model of indicators for collection evaluation (proposed in a previous paper by the authors) and to illustrate how to apply these indicators in practice.

An analytical study will be used to test the use of the multi‐dimensional collection evaluation model to assess an academic library collection. The study will: define the scope of the collection; focus on two of the dimensional categories (capacity and usage) and identify indicators for the two categories.

This paper demonstrates that combining usage indicators with capacity measurement (in terms of dollar expenditures) provides a powerful method of assessment with the potential to provide valuable data.

This study provides an accurate assessment of a library's collection in the current information environment. It does not currently include institutional repositories or locally created digital resources that will need to be addressed in the future as they mature and become more robust.

Academic libraries will have a reliable and sustainable model for the assessment of their collections. This paper illustrates how to assess the collection using the selected indicators.

The value of this study is in its development of the multi‐dimensional model for collection assessment and in the reliability and accuracy of the collection data it provides. It provides an evidence‐based method for assessing an academic library collection.