Academic literature on the topic 'Academic libraries Collection development Decision making Data processing'

Background Consumer health informatics (CHI) originated in the 1990s. With the rapid development of computer and information technology for health decision making, an increasing number of consumers have obtained health-related information through the internet, and CHI has also attracted the attention of an increasing number of scholars. Objective The aim of this study was to analyze the research themes and evolution characteristics of different study periods and to discuss the dynamic evolution path and research theme rules in a time-series framework from the perspective of a strategy map and a data flow in CHI. Methods The Web of Science core collection database of the Institute for Scientific Information was used as the data source to retrieve relevant articles in the field of CHI. SciMAT was used to preprocess the literature data and construct the overlapping map, evolution map, strategic diagram, and cluster network characterized by keywords. Besides, a bibliometric analysis of the general characteristics, the evolutionary characteristics of the theme, and the evolutionary path of the theme was conducted. Results A total of 986 articles were obtained after the retrieval, and 931 articles met the document-type requirement. In the past 21 years, the number of articles increased every year, with a remarkable growth after 2015. The research content in 4 different study periods formed the following 38 themes: patient education, medicine, needs, and bibliographic database in the 1999-2003 study period; world wide web, patient education, eHealth, patients, medication, terminology, behavior, technology, and disease in the 2004-2008 study period; websites, information seeking, physicians, attitudes, technology, risk, food labeling, patient, strategies, patient education, and eHealth in the 2009-2014 study period; and electronic medical records, health information seeking, attitudes, health communication, breast cancer, health literacy, technology, natural language processing, user-centered design, pharmacy, academic libraries, costs, internet utilization, and online health information in the 2015-2019 study period. Besides, these themes formed 10 evolution paths in 3 research directions: patient education and intervention, consumer demand attitude and behavior, and internet information technology application. Conclusions Averaging 93 publications every year since 2015, CHI research is in a rapid growth period. The research themes mainly focus on patient education, health information needs, health information search behavior, health behavior intervention, health literacy, health information technology, eHealth, and other aspects. Patient education and intervention research, consumer demand, attitude, and behavior research comprise the main theme evolution path, whose evolution process has been relatively stable. This evolution path will continue to become the research hotspot in this field. Research on the internet and information technology application is a secondary theme evolution path with development potential.

The collection of data about the identity characteristics of library users is the latest development in a long history of contested categorisation practices. In this article, I highlight how the collection of data about lesbian, gay, bisexual, trans and queer (LGBTQ) people has implications for the undertaking of diversity monitoring exercises in academic and public libraries. Based on experiences in the United Kingdom, I argue that recuperative efforts to ‘fix’ categorisation practices are not enough and overlook how categories of gender, sex and sexuality are constructed through the practice of diversity monitoring, how categories are positioned in time and space, and who is involved in decision-making about who to include and exclude from the category of ‘LGBTQ’.

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p><span>The advancement of science and technology has impacted functioning of the libraries of higher educational institutions, and the mode of providing resources for various academic activities. For many years, libraries attached to educational institutions have been labouring with the question of how to determine the value of journals in their </span><span>specific library collection. The Health Sciences Library of Manipal Academy of Higher Education at Manipal, </span><span>subscribed a vast number of online journals for their users. A relation between the usage and citations of subscribed online journals might provide a basis for the collection management in the libraries of academic and research institutions. The current study resolved to identify whether relationship exists between usage of subscribed online journals and their citations in the academic publications of the health science professionals from 2010 to 2015. The </span><span>study found a statistically significant relationship between subscribed online journal usage and their citations in the </span><span>publications through the inferential test of Spearman’s rank-order correlation. For collection development of online journals, libraries can utilise the usage or citation data of journals as a decision making tool. </span></p></div></div></div>

Purpose – The purpose of this paper is to develop a decision-making model for buy vs borrow selection decisions. Design/methodology/approach – The authors conduct a statistical analysis of circulation transactions and Interlibrary Loan (ILL) request data related to Western books as well as the overall subject content of local collections. They compare the relative costs and delivery times for obtaining materials through interlibrary loan channels vs purchase from domestic or foreign publishers. Based on this analysis, they make recommendations for buy vs borrow decision-making model relevant to the Western books collection at the Peking University Library. Findings – For materials available domestically, requesting through ILL is the preferred acquisitions strategy because of the low cost of domestic service and the comparable speed of delivery. Materials that can only be obtained from foreign libraries are best acquired through a combination of purchase-on-demand and ILL. Originality/value – This paper adds to the corpus of professional literature on buy vs borrow collection development models but adds a unique perspective by applying this model to a Western book collection in a Chinese academic library.

Purpose The purpose of this study is to evaluate the pre and post success of patron-driven acquisition (PDA) streaming video projects using financial analysis, thus comparing PDA as a collection building tool against other legacy purchasing practices. Design/methodology/approach This is primarily a quantitative study based on deductive data derived; however, it does include qualitative findings. Hence, it is a mixed study. Findings The study approaches this topic from the viewpoint that ongoing evaluations of PDA projects, based on savings and benefits derived, can be practically conducted and are useful for CD decision-making by purchasing agents in academic libraries. Research limitations/implications Caution should be used when generalizing this study due to its specificity of its library’s collection development (CD) needs and methodology. The study is not intended to be original research, but it builds upon other case studies in this area. Practical implications In addition to improving CD strategies, libraries could use this study to develop a financial valuation methodology, which can help guide purchasing practices. Social implications This study has implications to all library stakeholders. Originality/value Few studies have compared and analyzed streaming video PDA programs using financial analysis in a practical manner to aid library acquisitions.

Efficient decision making based on business intelligence (BI) is essential to ensure competitiveness for sustainable growth. The rapid development of information and communication technology has made collection and analysis of big data essential, resulting in a considerable increase in academic studies on big data and big data analysis (BDA). However, many of these studies are not linked to BI, as companies do not understand and utilize the concepts in an integrated way. Therefore, the purpose of this study is twofold. First, we review the literature on BI, big data, and BDA to show that they are not separate methods but an integrated decision support system. Second, we explore how businesses use big data and BDA practically in conjunction with BI through a case study of sorting and logistics processing of a typical courier enterprise. We focus on the company’s cost efficiency as regards to data collection, data analysis/simulation, and the results from actual application. Our findings may enable companies to achieve management efficiency by utilizing big data through efficient BI without investing in additional infrastructure. It could also give them indirect experience, thereby reducing trial and error in order to maintain or increase competitiveness.

Responding to the global concern on sustainable development, the consistency of localized and global/regional practices impacts the public and civil, economic, social and cultural domains. Challenges of coherent and efficient monitoring system mark the Ukraine’s path and leave space for improvement. The scrutiny of academic and institutional efforts in monitoring the sustainable development, sustainable development goals implementation reveals shortcomings and pitfalls in metadata provision, tools for data collection and processing, congruence of understanding and interpreting the concepts. The outcomes serve to substantiation of the research and educational objectives for examination of the indicator analysis design for better policy- and decision-making, public awareness, spatial patterns representation.

The integrated school system is an application intended to process school data, such as processing student re-registration data, student attendance data, and student payment data. This data is not yet optimal, causing difficulties in finding information about student data and making reports that are not adequate. Therefore, an application that can support and solve these problems is needed. This application is built using the Apache webserver as the web server, using PHP as the programming language, and MySQL in database development. This study aims to design an integrated school system at SMAN 9 Makassar based on client-server. The type of research used is quantitative research, while data collection uses library research methods and field research (observation). The testing method uses black box testing, which focuses on the functional requirements of the software. With the integrated school system at SMAN 9 Makassar based on client-server, it can help staff and employees at SMAN 9 Makassar in terms of managing data related to the school. For example, in managing academic data, finance, libraries, personnel, teacher info, student info, and counseling agency.

The new academic discipline of Data Sciences (DS) has been developed in recent years mainly because of the need to make decisions based on huge amounts of data -- Big Data. In parallel, there has been a huge progress in the development of technologies that enable to identify patterns, to filter big data, and to provide relevant meanings to information, due to machine learning and sophisticated inference techniques. The profession of Data Scientist (or Data Analyst) has become highly demanded in recent years. It is required in the business sector where data is the “oxygen” for business survival; it is needed in the governmental sector in order to improve its services to the citizens; and it is very imperative in the scientific world, where large data depositories collected in varied disciplines have to be integrated, mined and analyzed, in order to enable interdisciplinary research. The purpose of this paper is to demonstrate how the scientific discipline of Data Sciences fits into academic programs intended to prepare data analysts for the business, public, government, and academic sectors. The article first delineates the Data Cycle, which portrays the transformation of data and their derivatives along the route from generation to decision making. The cycle includes the following stages: problem definition  identifying pertinent data sources  data collection, and storing (including cleansing and backup)  data integration  data mining  processing and analysis  visualization  learning and decision-making  feedback for future cycles. Within this cycle, there might be sub cycles, where a number of stages are repeated and reiterated. It should be noted that the data cycle is generic. It might have slight variations under various circumstances, however, there is not much difference between the scientific cycle and all the other cycles. Each stage within the cycle requires different tools, namely hardware and software technologies that support the stage. This article classifies these tools. The final part of the article suggests a typology for academic DS programs. It outlines an academic program that will be offered to those wishing to practice the Data Analyst profession. An introductory course that should be mandatory to all students campus-wide is sketched.

In metal cutting processing, especially in the processing of low-rigidity workpieces, chatter is a key factor affecting many aspects such as surface quality, processing efficiency and tool life. The academic research on chatter mainly focuses on three directions: chatter prediction, real-time detecting, and chatter suppression. With the continuous development of machining toward intelligence, the hot spots and trends of chatter research are also constantly changing. Therefore, an in-depth and systematic summary of the current situation of chatter research is urgently needed. On this basis, it is of great significance to realize the prediction of the hot spots and trends of chatter research. This article summarizes the research status from three aspects of chatter prediction, detecting and suppression, and points out the advantages and limitations of current chatter research. After in-depth discussion, this article also looks forward to the trend of chatter research. The hot spots of chatter research will focus on the following points: (1) Chatter research methods and means based on data-driven. (2) Integrated data collection, processing and decision-making methods. (3) Chatter detecting unit and chatter suppression unit are integrated in the smart spindle. (4) The chatter mechanism and detecting research of robot milling.

As is the case at most academic libraries, collection assessment has become an essential component of collection management and development work. Although much of the assessment focus has disproportionately fallen on e-resources, print collections remain fruitful areas for evaluation and review. At Emory, print collections, including a complex approval plan, continue to be a significant component of our overarching collection strategy (in volume and expenditure). However, shifting priorities for library space and the growth of interdisciplinary programs and centers within the University are placing a higher demand on subject librarians for communication and coordinated decision-making regarding print acquisitions. As a result, we are currently preparing for a comprehensive print collection review, of which the approval plan is an integral component. This assessment will inform a more coherent print strategy, which effectively and efficiently meets research and teaching requirements as well as administrative needs. Using data cleaning and visualization tools, such as R, Excel, and Tableau, we have enriched our local usage data with detailed Gobi approval data (e.g., series, publisher, subject, etc.) and profile parameters. Merging these data types and enriching local use data will allow us to analyze the print collection in a more nuanced fashion and ask questions that do not require the LC classification framework. This analysis considers the development of additional tools and approaches that facilitate subject specialist communication with collection management and overall collaborative decision-making, especially in cross disciplinary areas.