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This paper aims to share some experiences and practical activities related to the use and management of usage data in the Digital Resource Acquisition Alliance of Chinese Academic Libraries (DRAA) as a reference for library consortia engaged in providing usage statistics services of e-resources to member libraries.

A literature review and online survey are used to analyze the research and practice of e-resources usage statistics conducted internationally. The case of DRAA is introduced to present how DRAA develops usage statistics services and promotes the implementation of the Standardized Usage Statistics Harvesting Initiative (SUSHI) to deliver usage statistics to member libraries. Future developments and enhancements are also described.

The main actions taken by DRAA to develop usage statistics services are as follows: development of the DRAA Usage Statistics Portal to provide a single point of access to usage statistics from participating publishers on behalf of member libraries; development of a SUSHI client, taking the lead in promoting SUSHI implementation to automatically obtain usage statistics in Chinese academic libraries; establishment of a working group on usage statistics and the China Academic Library and Information System/DRAA Standards and Recommended Practices Research Task Group to form a long-term mechanism for monitoring and gathering usage statistics; and strengthening of the understanding and application of standards and best practices for libraries and vendors in China. Scheduled enhancements in the future include a deep analysis and utilization of usage statistics, the promotion of Counting Online Usage of NeTworked Electronic Resources and SUSHI to Chinese academic resource publishers and raising awareness about normalizing usage statistics.

This paper has pertinence and wider implications for library consortia engaged in providing e-resources usage statistics services to member libraries.

This paper aims to discuss the viability of web server statistics for library‐generated web pages as measures of public service activity. For years librarians have gathered, reported, and analyzed traditional measures such as reference transactions, patron visits, book and reserve item circulation, and interlibrary loan transactions. Since the advent of web‐based databases and services, some traditional usage statistics have declined. Such declines can have political and financial implications for libraries.

The author did a literature review, studied a suggested revision to the NISO Z39.7‐1995 Library Statistics standard that includes counting usage of library‐generated web pages, participated in a task force on web statistics, and analyzed library web site statistics at a university library.

The recommendations of a task force on reporting web page usage statistics in an academic library are discussed. The reporting of the usage of library‐generated web pages can be a useful indicator of increased patron contacts and provide a more complete picture of public service activities.

This is a new area for library statistics, and its impact on the perceptions of libraries as sources of information in the digital age has yet to be proven.

This paper is useful to libraries which wish to integrate web page usage statistics into their output measures and reporting procedures.

E‐resource usage statistics contain a wealth of information, but mining that information from the massive amounts of data can be time consuming, expensive, and dangerous. Focuses on the practical aspects of getting some use out of usage statistics. Recent national studies in the USA and efforts to standardize the gathering and interpretation of e‐resource usage statistics show promise for accelerating the adoption and diffusion of reliable, meaningful usage information. The article concludes with some speculation about the overall value and long‐term potential for e‐resource usage statistics.

The aim of this paper is to know the cost of per use, to analyze the cost per use in different subjects, to analyze the most economical as well as expensive electronic database being subscribed by the University of Delhi, to identify the database(s) for cancellation and to highlight issues related to usage statistics.

Usage statistics have been collected from the publishers for the period under study of full-text databases in the counting online usage of networked electronic resource (COUNTER) JR1 excluding downloads from an archive and Indian databases not providing COUNTER compliance usage. Usages of foreign databases have been analyzed through different parameters like yearly average cost per down load, subject-wise average cost per down, most economical databases and most expensive databases have been identified. A total approximation cost has also been worked by adopting standards practice to know the saving of University of Delhi by subscribing these databases.

The study concludes that in case of foreign databases, the cost per use has increased by 41.77 per cent in the past 10 years and the cumulative average cost per use has been Rs.55.07 less than $1 if converted into US$. In case of subject, the cheapest cost per use has been from the databases providing statistical data (Rs.26.50) and the costliest cost per use has been from discipline social science (99–196.61), followed by management (Rs.37.33), general databases (Rs.40.58), science (Rs.41.66), humanities (Rs.48.73), technology (Rs.93.22) and computer science (Rs.102.09) per use. It has also been found that the Britannica Online has been the most economical database costing Rs.2.33 and World Intellectual Property Search as most expensive costing Rs.14,902.19 per use. The study concludes that University of Delhi have saved substantial amount by subscribing these databases instead of purchasing these article from open market. The study concluded that though the usage statistics is an important parameter for renewal or cancellation, it should not be the only criteria.

This study could not able to work out the cost per use of Indian databases, as they were not able to provide COUNTER statistics.

On the basis of the study, University of Delhi and institute may decide on renewal of these databases. The institute may take necessary action to promote these databases through information literacy program. On the basis of the study, University of Delhi and institute may decide on renewal of these databases. The institute may take necessary action to promote these databases through information literacy program.

This study is an empirical research based on original usage statistics provided by the publishers in COUNTER format. Earlier literature has also been studied and used. Proper citation and reference have been acknowledged. The study has been checked through plagiarism detecting software.

The purpose of this paper is to provide a library with useful information about selection criteria for an electronic resource assessment system and practical assistance on how to implement efficiently such a system.

The paper is based on literature review, desk research, and implementation experience.

The paper identifies a number of homegrown, open‐source, and commercial electronic resource assessment systems and discusses their selection criteria. Based on the implementation of 360 Counter, the paper details the efficient way to implement the system.

Collecting usage statistics is very important to make informed and well‐rounded collection decisions. Libraries are seeking suitable measuring tools to meet their needs. This paper reviews several electronic resource assessment systems, discusses the selection criteria and implementation process of 360 Counter, and detailed learned lessons as well. Future directions for usage statistics are also explored. It is believed that the deployment experience should be instructive when carrying out similar projects.

The purpose of this paper is to highlight the importance of quantitative and qualitative analysis of the usage of e‐resources in academic libraries. It also describes various studies undertaken to study the users' behavior and attitude towards e‐journals.

The paper provides a comprehensive review of the recent published literature on the importance of the usage statistics of e‐resources subscribed to by the academic libraries.

The findings show that the usage statistics help in studying and evaluating the users' behavior in an online environment. The library services can be extended and modified, to reflect user interests suiting the users the most, in the light of the evaluation and analyses done.

The paper has pertinence and wider implications for library staff engaged in providing e‐resources' services to readers.

Purpose — The chapter presents the practical applications of web search statistics analysis. The process description highlights the potential use of search queries and statistical data and how they could be used in various forecasting situations. The presented case is an example of applied computational intelligence and the main focus is oriented towards the decision support offered by the software mechanism and its capabilities to automatically gather, process and analyse data.

Methodology/approach — The statistics of the search queries as a source of prognostic information are analysed in a step-by-step process, starting from their content and scope, their processing and applications, and concluding with usage in a software-based intelligent framework.

Research implications — The analysis of search engine trends offers a great opportunity for many areas of research. Into the future, deploying this information in the prognosis will further develop intelligent data processing.

Practical implications — This functionality offers a unique possibility, impossible until now, to observe, estimate and predict various processes using wide, precise and accurate behaviour observations. The scope and quality of data allow practitioners to successfully use it in various prognostic problems (i.e. political, medical, or economic).

Originality/value of paper — The chapter presents practical implications of technology. The chapter then highlights potential areas that would benefit from the analysis of queries statistics. Moreover, it introduces ‘WebPerceiver’, an intelligent platform, built to make the analysis and usage of search trends easier and more generally available to a wide audience, including non-skilled users.

This paper sets out to consider the importance of statistical measures for any study of the impact of electronic services and to describe how relevant statistics can be collected and analysed.

It is based on the results of two complementary research projects at evidence base, the first, the e‐measures project, working with UK higher education libraries on establishing a set of national and local measures for electronic services, and the second, a study and analysis of usage statistics for four publisher deals within the NESLi2 initiative.

The e‐measures project has demonstrated some of the issues involved in the collection of reliable usage statistics, while the NESLi2 study has developed a framework for analysis which can be applied more widely. The successful introduction of COUNTER compliance has created a more reliable statistical basis for this analysis.

The NESLi2 study covered only a limited time period (January 2003‐June 2004) and its findings remain confidential. The study is now being extended to cover the whole of 2004 and it is hoped that agreement will then be obtained to publish some of the major findings.

The NESLi2 report contains a number of recommendations that are designed to help higher education libraries with the management and analysis of statistical measures. These, and other initiatives, are discussed.

The paper is of interest particularly to higher education libraries that wish to gain a more accurate picture of their use of electronic services. The methods of analysis described will also be relevant to other types of library.

This paper is aimed primarily at academic library managers and acquisition librarians. By analogy to Pareto studying the relationship between clients and turnover, the paper will study subscriptions to e‐journals and usage statistics. The aim is to evaluate the long tail of usage statistics and to compare it with subscription lists of individually selected titles and packages (big deals).

The paper exploits usage statistics and subscription data from a national usage study of an academic publisher. Data are from 2010.

Usage statistics are partly shaped by the long tail effect. Individual subscriptions of journals are more selective than big deals, and trend towards a traditional retail curve. Unlike subscriptions through packages, usage and individual subscriptions can be related by a similar inclination. But both types of subscriptions fail to predict the popularity of a title in its usage.

The paper uses data from a national usage study and tries to identify global trends. Thus, it does not distinguish between customer categories, disciplines or activity domains.

The paper considers the opportunity provided by big deal for acquisition policy. Ready‐made big deals sometimes appear as an unbounded and excessive supply, not suited to true and sufficient users' needs, but on the other hand, selective acquisition policy cannot completely anticipate online usage behaviour.

Only a few studies distinguish Pareto from long tail distributions in usage statistics, and there is little empirical evidence on the impact of selected subscriptions versus big deals on these statistics.

The paper seeks to emphasize the necessity of evaluating the library resources in terms of their quality, cost benefit and usefulness.

In the context of subscribing to the latest e‐journal databases in university libraries, different types of usage studies are discussed, including the recent application of usage log data or vendor reports. The genesis, standardization of usage reports and the significance of COUNTER statistics in establishing the usefulness of the e‐journals are described. The use of various electronic databases by the University of Hyderabad academic community is referred to according to these statistics/reports, mentioning the way in which it is helpful to university library in assessing their actual usage and usefulness.

The paper highlights the application of usage reports by the university library in decision making during renewals/subscriptions, i.e. the selection of databases, upgrading the versions, increasing licences, cancellation of subscriptions, etc.

All in all, it is established that the usage reports are to be taken as a support to library decision‐making activity, since it reflects the true value of e‐journals/databases.

This study provides necessary direction to library management regarding the utilization of log data for assessing the true value of e‐journals/databases. Thus the usage statistics can be studied and this analysis will invariably support the complex decision‐making activity of serials management in university libraries.