Information seeking retrieval, reading and storing behaviour of library users

In the interest of digital libraries, it is advisable that designers be aware of the potential behaviour of the users of such a system. There are two distinct parts under investigation, the interaction between traditional libraries involving the seeking and retrieval of relevant material, and the reading and storage behaviours ensuing. Through this analysis, the findings could be incorporated into digital library facilities. There has been copious amounts of research on information seeking leading to the development of behavioural models to describe the process. Often research on the information seeking practices of individuals is based on the task and field of study. The information seeking model, presented by Ellis et al. (1993), characterises the format of this study where it is used to compare various research on the information seeking practices of groups of people (from academics to professionals). It is found that, although researchers do make use of library facilities, they tend to rely heavily on their own collections and primarily use the library as a source for previously identified information, browsing and interloan. It was found that there are significant differences in user behaviour between the groups analysed. When looking at the reading and storage of material it was hard to draw conclusions, due to the lack of substantial research and information on the topic. However, through the use of reading strategies, a general idea on how readers behave can be developed. Designers of digital libraries can benefit from the guidelines presented here to better understand their audience

Collaborative yet independent: Information practices in the physical sciences

In many ways, the physical sciences are at the forefront of using digital tools and methods to work with information and data. However, the fields and disciplines that make up the physical sciences are by no means uniform, and physical scientists find, use, and disseminate information in a variety of ways. This report examines information practices in the physical sciences across seven cases, and demonstrates the richly varied ways in which physical scientists work, collaborate, and share information and data. This report details seven case studies in the physical sciences. For each case, qualitative interviews and focus groups were used to understand the domain. Quantitative data gathered from a survey of participants highlights different information strategies employed across the cases, and identifies important software used for research. Finally, conclusions from across the cases are drawn, and recommendations are made. This report is the third in a series commissioned by the Research Information Network (RIN), each looking at information practices in a specific domain (life sciences, humanities, and physical sciences). The aim is to understand how researchers within a range of disciplines find and use information, and in particular how that has changed with the introduction of new technologies

Can electoral popularity be predicted using socially generated big data?

Today, our more-than-ever digital lives leave significant footprints in cyberspace. Large scale collections of these socially generated footprints, often known as big data, could help us to re-investigate different aspects of our social collective behaviour in a quantitative framework. In this contribution we discuss one such possibility: the monitoring and predicting of popularity dynamics of candidates and parties through the analysis of socially generated data on the web during electoral campaigns. Such data offer considerable possibility for improving our awareness of popularity dynamics. However they also suffer from significant drawbacks in terms of representativeness and generalisability. In this paper we discuss potential ways around such problems, suggesting the nature of different political systems and contexts might lend differing levels of predictive power to certain types of data source. We offer an initial exploratory test of these ideas, focussing on two data streams, Wikipedia page views and Google search queries. On the basis of this data, we present popularity dynamics from real case examples of recent elections in three different countries.Comment: To appear in Information Technolog

Understanding patterns of library use among undergraduate students from different disciplines

Objective The objective of this study was to test whether routinely-generated library usage data could be linked with information about students to understand patterns of library use among students from different disciplines at the University of Huddersfield. This information is important for librarians seeking to demonstrate the value of the library, and to ensure that they are providing services which meet user needs. The study seeks to join two strands of library user research which until now have been kept rather separate – an interest in disciplinary differences in usage, and a methodology which involves large-scale routinely-generated data. Methods The study uses anonymised data about individual students derived from two sources: routinely-generated data on various dimensions of physical and electronic library resource usage, and information from the student registry on the course studied by each student. Courses were aggregated at a subject and then disciplinary level. Kruskal-Wallis and Mann Whitney tests were used to identify statistically significant differences between the high-level disciplinary groups, and within each disciplinary group at the subject level. Results The study identifies a number of statistically significant differences on various dimensions of usage between both high-level disciplinary groupings and lower subject-level groupings. In some cases, differences are not the same as those observed in earlier studies, reflecting distinctive usage patterns and differences in the way that disciplines or subjects are defined and organised. Arts students at Huddersfield use library resources less than those in social science disciplines, contradicting findings from studies at other institutions, although music students are high users within the arts subject-level grouping. Computing and engineering students were relatively similar, although computing students were more likely to download PDFs, and engineering students were more likely to use the physical library. Conclusions The technique introduced in this study represents an effective way of understanding distinctive usage patterns at an individual institution. There may be potential to aggregate findings across several institutions to help universities benchmark their own performance and usage; this would require a degree of collaboration and standardisation. This study found that students in certain disciplines at Huddersfield use the library in different ways to students in those same disciplines at other institutions: further investigation is needed to understand exactly why these differences exist, but some hypotheses are offered

Searching Data: A Review of Observational Data Retrieval Practices in Selected Disciplines

A cross-disciplinary examination of the user behaviours involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data. Two analytical frameworks rooted in information retrieval and science technology studies are used to identify key similarities in practices as a first step toward developing a model describing data retrieval

Exploring the information behaviour of users of Welsh Newspapers Online through web log analysis

Purpose – Webometric techniques have been applied to many websites and online resources, especially since the launch of Google Analytics (GA). To date, though, there has been little consideration of information behaviour in relation to digitised newspaper collections. The purpose of this paper is to address a perceived gap in the literature by providing an account of user behaviour in the newly launched Welsh Newspapers Online (WNO). Design/methodology/approach – The author collected webometric data for WNO using GA and web server content logs. These were analysed to identify patterns of engagement and user behaviour, which were then considered in relation to existing information behaviour. Findings – Use of WNO, while reminiscent of archival information seeking, can be understood as centring on the web interface rather than the digitised material. In comparison to general web browsing, users are much more deeply engaged with the resource. This engagement incorporates reading online, but users’ information seeking utilises website search and browsing functionality rather than filtering in newspaper material. Information seeking in digitised newspapers resembles the model of the “user” more closely than that of the “reader”, a value-laden distinction which needs further unpacking. Research limitations/implications – While the behaviour discussed in this paper is likely to be more widely representative, a larger longitudinal data set would increase the study’s significance. Additionally, the methodology of this paper can only tell us what users are doing, and further research is needed to identify the drivers for this behaviour. Originality/value – This study provides important insights into the underinvestigated area of digitised newspaper collections, and shows the importance of webometric methods in analysing online user behaviour

Information-seeking behaviour of physicists and astronomers

Purpose – The study examines two aspects of information seeking behaviour of physicists and astronomers including methods applied for keeping up-to-date and methods used for finding articles. The relationship between academic status and research field of users with their information seeking behaviour was investigated. Methodology/approach – Data were gathered using a questionnaire survey of PhD students and staff of the Department of Physics and Astronomy at University College London; 114 people (47.1 per cent response rate) participated in the survey. Findings – The study reveals differences among subfields of physics and astronomy in terms of information-seeking behaviour, highlights the need for and the value of looking at narrower subject communities within disciplines for a deeper understanding of the information behaviour of scientists. Originality/value – The study is the first study to deeply investigate intradisciplinary dissimilarities of information-seeking behaviour of scientists in a discipline. It is also an up-to-date account of information seeking behaviour of physicists and astronomers

Resolving the Uncertainty of Preterm Symptoms: Women’s Experiences With the Onset of Preterm Labor

Objective: To describe expectant women\u27s experiences with the onset of preterm labor. Design: Qualitative, using grounded theory methods. Setting: Southwestern tertiary women\u27s hospital. Participants: Thirty pregnant women who were less than 35 weeks gestation, had experienced preterm labor within the past 7 days, and had no previous experience with preterm labor. Data Source: Taped and transcribed interviews. Results: Themes that emerged from the interview data included the following: recognition and naming of sensations, a consistent pattern of attribution of symptoms, the threat or risk inferred by the attributed cause of the symptom pattern, the associated certainty or uncertainty about these attributions, the process of interpreting and verifying symptom meaning, and the decision to self-manage the symptoms or engage health care assistance. The core process of women experiencing the onset of preterm labor symptoms was identified as resolving the uncertainty of preterm labor symptoms: recognizing and responding to the possibilities. Conclusions: Preterm labor often is not within expectant women\u27s consciousness. They may attribute the symptoms to nonthreatening causes, which results in delays in seeking care for preterm labor. Education about symptom patterns at the onset of preterm labor will increase the probability that women and their health care providers will recognize and interpret the early, subtle symptoms that herald the onset of preterm labor. Uncertainty in illness theory and attribution theory offer frameworks for understanding women\u27s experiences with the onset of preterm labor

Mexican Health Paradox

Despite the broad array of research that exists on the Hispanic health paradox, no single explanation has been marked as the dominant reason for the disparities in life expectancy that exist between Mexican Americans and other Hispanic and non-Hispanic ethnic groups. This indicates that researchers must adopt a more open perspective that examines the influence of multidimensional factors that integrate culture, religious tradition, and lifestyle. The purpose of the current study is to 1) readily define the paradox and provide a thorough review of existing literature on the topic; 2) suggest a transition from exploring statistical explanations of the paradox to critically assessing health-related behaviors and influences such as familial support when trying to explain the paradox in the context of certain Hispanic ethnic groups; 3) elucidate sociocultural factors unique to Mexican American communities and their implications on Mexican health outcomes; and 4) consider avenues for further research concerning life expectancy and the paradox. The Mexican American health paradox is related to observable health-related influences, rather than statistical misrepresentation. Familial structure is one component that results in better physical health among members of this ethnic group. Still, similar familial bonding in Cuban American and Native American culture has not resulted in similar health outcomes, indicating additional factors behind the health advantage. The presence of an alternative-health care system with a more emotionally significant practitioner-client relationship appears to be the main factor that separates Mexican Americans from the other ethnic groups. In turn, this distinctive system, referred to as curanderismo, has a positive impact on both physical and mental health, and is bolstered by consistent family systems. By capturing the Hispanic health paradox in a holistic analysis of the existing explanations in current literature and specific ethnic characteristics, this project begins to conceptualize which factors have a greater contribution to the advantageous health outcomes of Mexican Americans relative to other influences. It also indicates the possible usefulness of sociocultural factors in explaining the paradox in the context of other Hispanic ethnic groups as well

A Bibliography of Community Analyses for Libraries

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