Analyzing faculty citations for effective collection management decisions

The article provides details of a faculty citation analysis study conducted at the University of Nevada, Las Vegas. The citation analysis analyzed faculty citations for publications published from 2002 to 2010. The citation analysis was used for a collection assessment project and continues to be used, along with other data to help assist with collection management decisions.     

Using the AMIGOS/OCLC collection analysis CD and student credit hour statistics to evaluate collection growth patterns and potential demand

In this collection evaluation study, the AMIGOS/OCLC Collection Analysis CD (CACD) was used to determine areas of comparative weakness and strength in the history holdings at the University of Central Arkansas. North American Title Count statistics from an appropriate peer group were matched, as closely as possible, with current course offerings at the University of Central Arkansas to identify holdings deficiencies in the various subfields of history. In order to estimate potential demand for materials, student credit hours for history courses presently being offered were calculated and correlated with the North American Title Counts. Comparative holdings data were then compared to potential demand statistics and current acquisitions computations. The findings indicated that in areas that already demonstrated comparative weaknesses, new acquisitions were failing to keep pace with enrollment trends. Based on the evidence produced by this study, the Department of History decided to modify its selection procedures and its method of allocating the book fund.     

Overcompliance and reluctance to make decisions: Exploring warning systems in support of public managers

Post-scandal effects in public management point to the occurrence of overcompliance in the work of public managers, leading to reluctance and paralysis in decision-making. This article discusses the proposition of an artifact in the form of a warning system to aid the analysis process and issuing of opinions (APIO) by public managers, providing more information and, consequently, less risk and fear. The Design Science Research method was used to exapt a scientific artifact to the context of public management. The textual structure of 178 opinions issued by public agencies was analyzed, as was the perception of 17 public managers of the characteristics of the APIO. Exaptating the artifact from a technological perspective is simple and feasible, as it involves processes with strong functional similarities. The greatest challenges to operationalize the artifact broadly and without restrictions, as occurs in scientific academia, are associated with informational behaviors.     

CNMARC数据的规范化问题

论文从机读目录责任者数据录入入手，通过事例对责任者项数据录入中普遍存在的不规范现象，进行了较为详细的分析探讨，从而归纳出造成当前CNMARC书目数据录入不规范的原因，并据此提出了规范CNMARC数据的对策。     

Editorial peer review: methodology and data collection

This study reports on the editorial peer review practices of two categories of U.S. medical journals indexed in Index Medicus. Journals in group 1 were included on each of three lists of recommended journals, had a circulation of 10,000, and were cited at least 5,000 times per year. Group 2 journals, also indexed in Index Medicus, met none of the criteria. After being pretested, data were collected through a series of interviews and questionnaires. A summary of the methodology and an analysis of the differences between data collected through questionnaires and interviews is reported. The study concluded that initial interviews are very helpful in designing a questionnaire; a high percentage of editors agreed to be interviewed (100% for sixteen group 1 editors and 93.8% for sixteen group 2 editors); a 69.4% response rate to the mailed questionnaire indicates either sufficient follow-up or a high rate of interest in the subject matter; no trends identified by the questionnaire were reversed by changes in answers given during the interviews; approximately 11% to 15% of the answers differed between the questionnaire and interview methodology; and for some sensitive issues, editors were more likely to give answers on the questionnaire according to what was perceived as the most appropriate answer, rather than the actual practices of the journal.     

From budget allocation to collection development: A system for the small college library

Research has shown that faculty involvement in library collection development is directly proportional to the size of the library collection itself; specifically, as library collection size increases, faculty involvement in library collection development decreases. Conversely, the opportunity for faculty involvement in library collection development is enhanced in the small-college setting where collection development is a collaborative effort between the faculty, who serve as the counterparts of subject bibliographers in larger university settings, and librarians, who both oversee the collection development process and serve as bibliographers in general and interdisciplinary subject areas. The case study documents the collection development philosophy, selection and acquisitions policies, and accounting procedures used at the Iris Holt McEwen Library and LaRose Resources Center at Elon College in North Carolina. The interrelatedness of selection, acquisition, and accounting processes as well as the collaboration between librarians and faculty in collection development are emphasized. A time line for the collection development process is included.     

Hospital library surveys for management and planning: past and future directions

Since the survey of health sciences libraries by the American Medical Association in 1969, a number of other hospital library surveys have been conducted. Twelve hospital/health sciences library surveys published since the passage of the Medical Library Assistance Act are reviewed. The use of data from these surveys for management and planning is discussed and directions for future library survey development are suggested.     

From citizens to government policy-makers: Social media data analysis

People are more and more using social media to express themselves about the different services that their governments are delivering. They can either provide positive or negative comments on government services. Hence, it becomes important for policy-makers to have the necessary tools to extract this valuable knowledge in a comprehensive way and that they may consider in their decision-making processes. This paper provides a generic framework, based on semantic analysis of text, to extract valuable data from social media in order to provide new information for government policy-makers. The proposed framework is based on a text semantic analysis tool that collects data from social networks and extracts valuable data to be presented to government policy-makers. The proposed framework is applied to analyze Facebook posts from a page that is managed by citizens in Tunisia. This page aims to report various problems and issues occurring in Tunisian cities.