Government information policy research: Importance, approaches, and realities

Information policy research is a critical tool in the arsenal of library and information science researchers. As developments occur in information access, use, technology, and management, information policies require more attention and research. The article describes the nature of government information policy and policy research, characteristics of policy research, and examples of research methods and approaches that can be used. The differences between textbook-based policy research and how policy research might be implemented in action are also discussed, as are the inter-connectedness of information policies and ways to describe impacts of information policies. The article recommends that researchers and professionals give greater education, training, and professional association attention to using policy research on a day-to-day basis.     

An outranking approach for information retrieval

Over the last three decades, research in Information Retrieval (IR) shows performance improvement when many sources of evidence are combined to produce a ranking of documents. Most current approaches assess document relevance by computing a single score which aggregates values of some attributes or criteria. They use analytic aggregation operators which either lead to a loss of valuable information, e.g., the min or lexicographic operators, or allow very bad scores on some criteria to be compensated with good ones, e.g., the weighted sum operator. Moreover, all these approaches do not handle imprecision of criterion scores. In this paper, we propose a multiple criteria framework using a new aggregation mechanism based on decision rules identifying positive and negative reasons for judging whether a document should get a better ranking than another. The resulting procedure also handles imprecision in criteria design. Experimental results are reported showing that the suggested method performs better than standard aggregation operators.     

任务教学法与信息素养的培养

讨论任务教学法在《信息检索》教学实践中的应用。通过具体的实例将课程内容构建工作任务,使学生通过完成工作任务,达到提高学生信息素养的目的。     

A multidisciplinary approach to information and critical appraisal instruction

The formulation of clinical decisions based on evidence requires the ability to locate information and evaluate it critically. A ten-week critical appraisal course for third-year medical students, taught cooperatively by library and Department of Medicine faculty, integrates education in the selection, evaluation, and application of information to patient care. The course is distinctive in that information management skills are taught by a multidisciplinary team in a problem-based format as part of the compulsory medical curriculum. Medical faculty provided instruction in reading and evaluating research methodology, as well as statistical analyses in published reports, using clinical scenarios and related journal articles at weekly sessions. Library faculty provided instruction in locating pertinent research on a sample clinical problem using standard printed and computerized indexes and local library resources, and presented criteria for selecting the most useful and significant works from those retrieved. Library faculty also met individually with students to provide instruction in online literature searching. Based on formal evaluation and informal feedback, the course was well received; it effectively presents the literature search as an integral part of critical appraisal of the medical literature and of the clinical decision-making process.     

Teaching a heuristic approach to information retrieval

To become life-long learners, students must acquire information retrieval skills for future as well as current information needs. This article describes how the Library Use Instruction Program at Northwest Missouri State University incorporates a heuristic model in which students continually evaluate and refine their information seeking practices while progressing through all levels of courses in diverse disciplines. Collegial partnerships with departmental faculty and ongoing instructional assessment are essential to the success of the program.     

The modern information culture and information warfare

Information warfare is viewed as a social-information phenomenon in today’s world. Particular features of information warfare pursued in World 2.0 are defined. The emphasis is made on the role of a humanitarian tool, the information culture, which allows one to counter information warfare. The personal information culture and information culture of a society are defined. The importance of the development of the information culture in the higher education area is discussed.     

Information and the information approach: from informatics to globalistics

Information is understood as a universal attribute of matter and is generally viewed as reflected diversity. It is asserted that informatics is the science of information and the laws of its existence, transfer, and development. It is supposed that the information approach forms a distinct branch of informatics, i.e., information globalistics, an essentially new trend of global research.     

Health, sport and nutritional information: tailoring your approach

One of the intended legacies of the London 2012 Olympics is to increase the level of physical activity amongst the general population. Health information on the positive health benefits of sport and nutrition can assist in this goal and its positive benefit can been seen in communities within and beyond the United Kingdom, particularly within an educational context. In the United States, young people view their teachers as a valuable source of health information, and in Taiwan, teachers have been key collaborators in the development of a national Health e-Learning Network providing multimedia-learning modules for use in the classroom. However, classrooms are not the only source of health information and, with the reported inaccuracies in the translation of health information from academic papers to the popular press, school librarians have a role to play in facilitating students' ability to assess the quality of the health information they access, whatever the source.     

A pattern mining approach for information filtering systems

It is a big challenge to clearly identify the boundary between positive and negative streams for information filtering systems. Several attempts have used negative feedback to solve this challenge; however, there are two issues for using negative relevance feedback to improve the effectiveness of information filtering. The first one is how to select constructive negative samples in order to reduce the space of negative documents. The second issue is how to decide noisy extracted features that should be updated based on the selected negative samples. This paper proposes a pattern mining based approach to select some offenders from the negative documents, where an offender can be used to reduce the side effects of noisy features. It also classifies extracted features (i.e., terms) into three categories: positive specific terms, general terms, and negative specific terms. In this way, multiple revising strategies can be used to update extracted features. An iterative learning algorithm is also proposed to implement this approach on the RCV1 data collection, and substantial experiments show that the proposed approach achieves encouraging performance and the performance is also consistent for adaptive filtering as well.     

An inquiry-based learning approach to teaching information retrieval

The study of information retrieval (IR) has increased in interest and importance with the explosive growth of online information in recent years. Learning about IR within formal courses of study enables users of search engines to use them more knowledgeably and effectively, while providing the starting point for the explorations of new researchers into novel search technologies. Although IR can be taught in a traditional manner of formal classroom instruction with students being led through the details of the subject and expected to reproduce this in assessment, the nature of IR as a topic makes it an ideal subject for inquiry-based learning approaches to teaching. In an inquiry-based learning approach students are introduced to the principles of a subject and then encouraged to develop their understanding by solving structured or open problems. Working through solutions in subsequent class discussions enables students to appreciate the availability of alternative solutions as proposed by their classmates. Following this approach students not only learn the details of IR techniques, but significantly, naturally learn to apply them in solution of problems. In doing this they not only gain an appreciation of alternative solutions to a problem, but also how to assess their relative strengths and weaknesses. Developing confidence and skills in problem solving enables student assessment to be structured around solution of problems. Thus students can be assessed on the basis of their understanding and ability to apply techniques, rather simply their skill at reciting facts. This has the additional benefit of encouraging general problem solving skills which can be of benefit in other subjects. This approach to teaching IR was successfully implemented in an undergraduate module where students were assessed in a written examination exploring their knowledge and understanding of the principles of IR and their ability to apply them to solving problems, and a written assignment based on developing an individual research proposal.     

A collaborative approach to teaching genetics information sources

Rapid advancement and new information sources in many academic fields offer expanded opportunities for collaborative teaching Campus-wide programs, such as UWired, are effective in stimulating collaborative teaching, but efforts of individual faculty members and librarians can also produce effective courses This article describes how bioinformatics sources were introduced to students in a human genetics course taught by a professor and a librarian at the University of Tennessee Course content, learning objectives, and student assignments are covered, as well as roles of the professor and librarian m teaching the course The librarian attended each class session, which proved effective in integrating him into the course and expanded his knowledge of how genetics information is used by researchers     

Auto-hermeneutics: A phenomenological approach to information experience

The need for methodologically rigorous approaches to the study of human experience in LIS has emerged in recent years. Auto-hermeneutics is a research approach that offers a systematic way to study one’s own experiences with information, allowing investigators to explore yet-undocumented contexts, setting precedents for further work in these areas and ultimately deepening our understanding of information experiences. This articulation of auto-hermeneutics is based on the phenomenological method of Heidegger and draws principles from systematic self-observation and interpretative phenomenological analysis. Similarities and differences among auto-hermeneutics and other automethodologies are discussed, along with guidelines for assessing auto-hermeneutic research. Finally, an example of an auto-hermeneutic study illustrates the unique contributions this approach affords.     

The realities of teams in technical services at Michigan State University Libraries

After a year-long process of self-assessment, research, and planning, Michigan State University Libraries has implemented a flexible team-based organizational structure. This structure permits us to more effectively fulfill our primary role of service to the Libraries and provides the ability to respond in an environment of continuous change. We have been operating successfully within this new structure since the fall of 1992.     

A realistic approach to information services on mobile apps

The deployment of information services through mobile apps is an innovative plan to provide effective services to end users. Libraries can promote and expand their existing information services by offering mobile apps to access electronic resources, the library Web site, online catalogs, and institutional repositories. This article discusses a realistic approach to enhance library services through mobile applications. The present study focuses on mobile applications adopted in the library of Gogte Institute of Technology. It also discusses the working module, features, and framework of mobile apps.     

A goodness of fit test approach in information retrieval

In many probabilistic modeling approaches to Information Retrieval we are interested in estimating how well a document model “fits” the user’s information need (query model). On the other hand in statistics, goodness of fit tests are well established techniques for assessing the assumptions about the underlying distribution of a data set. Supposing that the query terms are randomly distributed in the various documents of the collection, we actually want to know whether the occurrences of the query terms are more frequently distributed by chance in a particular document. This can be quantified by the so-called goodness of fit tests. In this paper, we present a new document ranking technique based on Chi-square goodness of fit tests. Given the null hypothesis that there is no association between the query terms q and the document d irrespective of any chance occurrences, we perform a Chi-square goodness of fit test for assessing this hypothesis and calculate the corresponding Chi-square values. Our retrieval formula is based on ranking the documents in the collection according to these calculated Chi-square values. The method was evaluated over the entire test collection of TREC data, on disks 4 and 5, using the topics of TREC-7 and TREC-8 (50 topics each) conferences. It performs well, outperforming steadily the classical OKAPI term frequency weighting formula but below that of KL-Divergence from language modeling approach. Despite this, we believe that the technique is an important non-parametric way of thinking of retrieval, offering the possibility to try simple alternative retrieval formulas within goodness-of-fit statistical tests’ framework, modeling the data in various ways estimating or assigning any arbitrary theoretical distribution in terms.     

The power of information: health information and UK agendas

The Department of Health published a new health information strategy in May 2012. The document provides a framework for health information in England over the next 10 years. Health information developments in England, however, do not mirror developments in other parts of the United Kingdom. This article is a personal reflection on the new health information strategy in England, including comparison with developments in the other UK nations.