Information Resource Network Research Articles

A Framework for the Analysis of Personal Learning Networks

This paper reports on research undertaken to map and analyse Personal Learning Networks (PLNs). PLNs are the total preferred connections to the different people, technological devices, services, and information resources an individual uses for learning activities and learning goals in all learning contexts. Drawing from Education, Web Science, Digital Sociology and Network Science, a Framework was developed which conceptualises PLNs as egocentric interaction networks involving a mode, purpose and endpoint. The Framework introduces the idea of measuring the frequency of interaction along paths consisting of pre-determined, generalised nodes (and node sets). This eliminate network differences at the micro level and allows meaningful comparison and aggregation of individual PLNs into groups or whole samples. Quantitative survey data was collected as part of a FutureLearn MOOC and in real-time converted by a bespoke mapping and visualisation tool into an online PLN map. Analysis indicates that regardless of any contextual factors, individuals interact nearly three quarters of the time via digital devices, and just a quarter of the time face-to-face or non-digitally. One third of those interactions are with smartphones, most often for the purpose of gathering information from web searches. Individuals also interact more frequently with non-humans than they do with humans. Chi-square significance testing to examine the effect of a range of external shaping factors found that the PLNs of apparently diverse groups display a considerable homogeneity. Gender, country of residence and position on the Digital Resident-Digital Visitor spectrum have no effect on the size and use of a PLN. Age and being a UK HE student have the most effect. There may also be evidence of a Network Lifecycle, with a critical period of PLN growth occurring during the age of 18-25. This means that universities are ideally placed, indeed may even have a duty of care, to foster PLN development in educationally and personally productive ways. If HE institutions are to respond to the networked student, living, working and learning in a network age, then no longer can the learner be considered separately from the network of people, devices, services and information resources they use for daily life. Transitioning towards a PLN-centred, networked learning HE pedagogy and learning design may arguably be the most suitable response to a study body which is increasingly and inextricably embedded in a sociotechnical reality.

The Efforts of the National Library of Indonesia in Providing Covid-19 Reliable Resources through Coronapedia

The National Library of Indonesia has a very important role in creating reliable resources for the community during pandemic of Covid-19. The study is to understand the efforts of the National Library of Indonesia in increasing Covid-19 awareness through the development of “Coronapedia”. The method of this research is a case study approach. Data collection techniques were carried out using observation, in-depth interviews, literature review, and documentation. The results show the National Library has several efforts to improve Covid-19 understanding, especially during the pandemic. The National Library of Indonesia has developed a digital media-based environment, Coronapedia, as a feature of iPusnas that provides information resources in the pandemic era. In developing it, the National Library of Indonesia has several important things, including: 1) formulating the background of the importance of Coronapedia; 2) formulating goals to build Coronapedia; 3) building a Coronapedia collection; 4) building a network of information resources for the Coronapedia collection; 5) managing procurement and processing of Coronapedia collection. The many uses of Coronapedia as a trusted sources of Covid-19 information assisted people in sharpening their digital literacy about Covid-19. The significants of this research are expected to be able to make a positive contribution, as an evaluation material, to add insight, and to be used as a reference for further research on the effectiveness of the National Library of Indonesia in increasing Covid-19 information through the development of Coronapedia

Optimization and Application of Communication Resource Allocation Algorithm for Urban Rail Transit Planning.

The construction and operation of China's rail transit system have entered a high-speed development stage, and the rapid increase of train speed and mileage has brought greater challenges to the safety and reliability of the rail transit system. Network planning evaluation is the key to the early decision-making of urban rail transit project, which directly determines the success or failure of the whole project. How to scientifically and reasonably evaluate the urban rail transit information resource network planning has become a difficult problem for many urban planners to solve. Therefore, this paper studies the optimization of the communication resource allocation algorithm and the comprehensive evaluation of its application for urban rail transit planning. In this paper, based on CVNN structure, the network prototype is an extension of RVNN structure. In the abstract, its processing unit is composed of a pair of real-number processors that can realize certain operations. HNN is a fully connected recurrent neural network based on the idea of the energy function, which is helpful to understand the calculation mode of HNN, and the research shows that HNN can solve many combinatorial optimization problems. In addition, the combination of neural network and genetic algorithm with simulated annealing mechanism can also bring new directions for research. On the basis of experimental analysis, it can be concluded that in general, the error reduction rate of the optimization scheme designed in this paper can reach 58.6% on average. In practical application, the accuracy of the optimal bit error rate is 52.4%.

Research on Optimization Method of Computer Network Service Quality Based on Feature Matching Algorithm

On the whole, the main basis for strengthening the quality of network service is the construction of network system, reasonable arrangement of network and adjustment of information resources. In order to enhance the quality of network services, we should minimize the problems. In order to improve the quality of network, we should study more new network technologies and make up for network loopholes in time. In this study, in order to solve the efficiency problem brought by mass candidate services to quality-aware service selection, a service selection strategy based on feature matching algorithm is proposed. Based on statistical method, a probability matrix describing the mapping relationship between quality demand pattern and quality-oriented service pattern is established, and the service selection algorithm is improved by using the probability matrix. A series of experiments on artificial simulated data sets generated from real service data sets prove the feasibility and effectiveness of the proposed method.

Library and Information Science in the Era of Network: Challenge, Reform and Innovation

With the continuous development of network technology, network technology has been applied to various fields of social life and production. The development of Library and information industry is advancing with the progress of technology and has brought about great changes. How to face the challenge of the progress of network technology for Library and information science, and how to promote the reform and innovation of Library and information science is an important problem at present. This paper aims to study the challenges faced by library and Information Science in the era of network, and look forward to the future reform and innovation direction and path of Library and information science through the current situation. In this paper, qualitative and quantitative research methods combined with CO word analysis are used to sort out the interdisciplinary research topics of Library and information science, as well as the changes and comparison of Library and information science research methods in the era of network, so as to get the development trend and direction of Library and Information Science in China. Research and analysis show that the main research of Library and information science focuses on "computer and computer application". With the continuous progress of network technology, there are more and more network technologies involved in Library and information institutions, which will produce more and more research topics. At the same time, the research methods of Library and Information Science in China are also out of date. Only by applying computer technology Only by applying it to the research and enriching the existing researchers to construct the network of information resources, can the data statistics and analysis be carried out with the highest efficiency, so as to realize the positive promotion for the discipline and other disciplines. In the network era, the future development of Library and information science requires us to make steady progress and comply with the new requirements and changes of the network era, so as to make the development of Library and information science more complete and adapt to the higher requirements of the network era.

Evaluating missing value imputation methods for food composition databases

Missing data are a common problem in most research fields and introduce an element of ambiguity into data analysis. They can arise due to different reasons: mishandling of samples, measurement error, deleted aberrant value or simply lack of analysis. The nutrition domain is no exception to the problem of missing data. This paper addresses the problem of missing data in food composition databases (FCDBs). Missing data in FCDBs results in incomplete FCDBs, which have limited usage, because any dietary assessment can be performed only on a complete dataset. Most often, this problem is resolved by calculating means/medians from excising data in the same database or borrowing data from other FCDBs. These solutions introduce significant error. We focus on missing data imputation techniques based on methods for substituting missing values with statistical prediction: Non-Negative Matrix Factorization (NMF), Multiple Imputations by Chained Equations (MICE), Nonparametric Missing Value Imputation using Random Forest (MissForest), and K-Nearest Neighbors (KNN), and compared them with commonly used approaches - fill-in with mean, fill-in with median. The data used was from national FCDBs collected by EuroFIR (European Food Information Resource Network). The results show that the state-of-the-art methods for imputation yield better results than the traditional approaches.

Research on the Security Strategy and Technology of Information Resource Network of Chinese Academy Library

This article briefly analyses the Security Strategy and Technology of Information Resource Network of Chinese Academy Library. At present, every country in the world is paying very close attention to the management of library Information resource network (IRN). Library Information Resource System is an important part of the information technology category. There are many risks in the library’s information resource system. In order to provide the users with the information accurately and timely, we need to develop a reliable and stable defense strategy.

КУЛЬТУРА РЕАЛЬНОЇ ВІРТУАЛЬНОСТІ В ДИСТАНЦІЙНОМУ НАВЧАННІ МАЙБУТНІХ УЧИТЕЛІВ МУЗИЧНОГО МИСТЕЦТВА

The article analyzes the existence of virtual reality in distance learning, taking into account the rapid development of scientific and technological progress, where there is an increase in the amount of information, modernization of science, a change in scientific and social theories, and the rapid leveling of knowledge. The values of modern changes in the sphere of culture associated with the development and spread of virtual reality are determined. It is noticed that the technology of distance activities, based on the culture of virtual reality, makes it possible for a future teacher of musical art to create their own creative products, to receive not only practically significant developments, but also to master methods of activity that can subsequently be used in future professional activities. The proposed activities can be successfully applied in the formation of a culture of virtual reality in distance learning for a future teacher of musical art. The technology of remote events based on the culture of virtual reality allows future music teachers to create their own creative products, receive not only practically significant developments but also to master the methods of activity, which can later be applied independently. The article proposes measures that deserve attention and can be successfully applied in music education. It is impossible to ignore the performance of independent work by a future music teacher in the conditions of distance learning, which requires: providing him with access to the network of electronic information and educational resources of the institution in which he receives educational services; specially equipped premises, which are replaced by virtual analogues, which allows students to master the skills and abilities provided for future professional activities. The existence of a culture of virtual reality, in the distance learning of future music teachers, is real and promising under a number of conditions: with a minimum technical base, the availability of computer equipment, the Internet the necessary support; at competently and adequately developed educational materials taking into account specificity of distance learning; when integrating the efforts of specialists; development of programs of educational disciplines with the available content of education on the basis of virtual reality. These conditions are effective in teaching future teachers of music and provide for the development of their individuality by creating their own interpretation of musical works and mastering the treasury of world culture.

Information horizons mapping to assess the health literacy of refugee and immigrant women

ABSTRACTIntroduction‐ Refugees and immigrants are at a heightened risk of many negative health outcomes. While strong health literacy ability may be a determinant of favorable health outcomes, assessing the health literacy of refugee and immigrant women is a challenge. Due to typically lower literacy and English ability, one possible method to measure the health literacy of this population is to ask them to graphically represent their health‐related information horizons. Seventy‐four women were asked to take a survey and answer open‐ended questions about their HISB and demographic information, and then asked to create an information horizons map in the context of health information seeking. Each map was compared to the survey questions and specific questions that were asked to gauge the health literacy of the participants. The network of information resources for immigrant and refugee women was graphically displayed. Women who drew maps that were more complex had survey responses that correlated with higher health literacy. Refugee women were less aware of health information sources than other immigrant women. While more research is needed, this research provides evidence that information horizons mapping within a health information‐seeking context may be predictive of health literacy.

Las bibliotecas del CONICET: hacia la Red Federada de Recursos de Información (ReFeRI)

Fil: Diessler, Gabriela. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Biologia y Medicina Experimental. Fundacion de Instituto de Biologia y Medicina Experimental. Instituto de Biologia y Medicina Experimental; Argentina

Establishment and advances in the online Serbian food and recipe data base harmonized with EuroFIR™ standards

Within the European Food Information Resource Network of Excellence (EuroFIR NoE; FP6) and EuroFIR Nexus (FP7) project paucity in food composition databases (FCDB) in the Central Eastern Europe/Balkan (CEE/B) region was identified. As a member of EuroFIR NoE, the Centre of Research Excellence in Nutrition and Metabolism, Serbia initiated creation of the 1st online Serbian FCDB employing EuroFIR quality framework and CEN Food Data Standard requirements, supporting capacity development and designing the web-based Food Composition Data Management (FCDM) software for FCDB building. The 1st online version of Serbian FCDB was launched in 2007, and then extended with food composition data from other Balkan countries (Balkan Food Platform-Regional FCDB). All foods are indexed using LanguaL Thesaurus and coded with EFSA FoodEx2 coding system. To date, upgraded Serbian FCDB with 1046 foods and 129 traditional/common Serbian composite dishes is a prerequisite for nutritional research in Serbia, CEE/B region and wider Europe.

The Study on Educational Resources Based on the Recommended Services

In the network teaching system, with the increasing teaching resources, student resources are increasingly difficult to find interesting, so join teaching resource referral service in online teaching system allows students freed from the vast network of information resources, greatly saving time and effort spent on students in search of information. Under these conditions and needs, educational resources referral service technology has been progressively developed. This article is recommended for Educational Resources Services referral service model, resource feature representation and recommendation algorithm based on machine learning and other key technologies were discussed and studied.

Assessing and Improving the Quality of Food Composition Databases for Nutrition and Health Applications in Europe: The Contribution of EuroFIR

Food composition databases (FCDBs) form an integral part of nutrition and health research, patient treatment, manufacturing processes, and consumer information. FCDBs have traditionally been compiled at a national level; therefore, until recently, there was limited standardization of procedures across different data sets. Digital technologies now allow FCDB users to access a variety of information from different sources, which has emphasized the need for greater harmonization. The European Food Information Resource (EuroFIR) Network of Excellence and Nexus projects (2005–2013) has been instrumental in addressing differences in FCDBs and in producing standardized protocols and quality schemes to compile and manage them. A formal, recognized European standard for food composition data has been prepared, which will further assist in the production of comparable data. Quality schemes need to address both the composition data, plus the methods of sampling, analysis, and calculation, and the documentation of processes. The EuroFIR data exchange platform provides a wealth of resources for composition compilers and end users and continues to develop new and innovative tools and methodologies. EuroFIR also is working in collaboration with the European Food Safety Authority, and as a partner in several European projects. Through such collaborations, EuroFIR will continue to develop FCDB harmonization and to use new technologies to ensure sustainable future initiatives in the food composition activities that underpin food and health research in Europe.

Introduction to the Special Issue: Engaging with Indigenous Knowledge, Culture and Communities

[Extract] Next year, 2015, will mark the 20th anniversary of the publication of the ATSILIRN (Aboriginal and Torres Strait Islander Library and Information Resource Network) protocols for libraries, archives and information services. In 2004, the profession was surveyed to gauge the extent of use of the Protocols and to discern their practical value and effectiveness, from the profession’s perspective. This led to the revision of the Protocols in 2005, with the inclusion of an additional section on the digital environment and the presentation of the Protocols online. In 2010, the Protocols website was again redesigned and in 2012 a pocket pdf version was made available on the website. The Protocols have remained much the same, throughout this period, acting as a broad guide and deliberately avoiding narrow technical prescriptions for practice. The ATSILIRN Protocols remind professionals of the presence of Indigenous Australian “materials” in Australian libraries and archives. They draw attention to the various sensitivities now associated with the collection and management of these materials.

Towards harmonized data interchange in food consumption data

Food consumption data are collected and used in several fields of science. The data are often combined from various sources and interchanged between different systems. There is, however, no harmonized and widely used data interchange format. In addition, food consumption data are often combined with other data such as food composition data. In the field of food composition, successful harmonization has recently been achieved by the European Food Information Resource Network, which is now the basis of a standard draft by the European Committee for Standardization. We present an XML-based data interchange format for food consumption based on work and experiences related to food composition.The aim is that the data interchange format will provide a basis for wider harmonization in the future.

A pilot study on food composition of five Turkish traditional foods

PurposeThe purpose of this paper is to describe methodology and practices undertaken during a pilot study on food composition of Turkish traditional foods (TTF).Design/methodology/approachThe pilot study was conducted under the European Food Information Resource Network (EuroFIR) Project for the systemic investigation of traditional foods. As a partner country of the EuroFIR, Turkey has selected five traditional foods, tarhana soup, yoğurtlu kebap (kebab with yoghurt), hamsi buğulama (anchovy stew), pastırma, and baklava. The traditional recipes of the selected foods were recorded by field studies. Nutritional composition of foods was determined by chemical analyses.FindingsInformation on the identification, sampling, sample handling, and analysis was collected for each of the selected foods. The food composition data were evaluated by using EuroFIR standards, and the recommended dietary allowances (RDA) for nutritents. Five TTF were meeting with various nutrient recommendations.Originality/valueThis pilot study on the systemic investigation of traditional foods would be an example for further traditional food studies in Turkey and would enable the generation of reliable, representative and sufficient quality data on TTF.

Doctoral dissertations of Library and Information Science in China: A co-word analysis

The aim of this paper is to map the intellectual structure of research in doctoral dissertations of Library and Information Science in China. By use of Co-word analysis, including cluster analysis, strategic diagram and social network analysis, we studied the internal and external structure and relationship of research fields in doctoral dissertations of Library and Information Science in China. Data was collected, during the period of 1994---2011, from six public dissertation databases and ten degree databases provided by the universities/institutes which have been authorized to grant doctoral degrees of Library and Information Science in China. The results show that Wuhan University is the most important institution of doctoral education in LIS in China. The focuses of researches, including information resource, ontology, semantic web, semantic search, electronic government, information resource management, knowledge management, knowledge innovation, knowledge sharing, knowledge organization, network, information service, information need and digital library. The research fields of LIS doctoral dissertations in China are varied. Many of these research fields are still immature; accordingly, the well-developed and core research fields are fewer.

An approach to identify influential building blocks and linkages in an information resource network

An information resource network (IRN) is a time-ordered and potentially interrelated set of information elements. Examples include papers within a research domain, blog postings dealing with a certain topic, and information records within a company. We present a structured analysis to identify influential building blocks and linkages in a general IRN and show that our approach can be used for large networks of information nodes. Our method compensates for biases that can emerge at the edges of such time-dependent networks. Importantly, our focus is on the information elements and not on the authors of such information. We illustrate this process using one example of a resource network — research papers in a given domain. Our method can be implemented in any domain that can be represented as time-ordered, interrelated components of information sets. ► Identify information resource network (IRN) important building blocks and linkages. ► Extremely useful in modeling directional, time-stamped and context-specific IRN. ► Focuses on information content and relevance, as opposed to author of information. ► Develops unbiased metrics to measure and highlight IRN elements and linkages. ► Can be used to identify and rank information sources too (journal, blog, network).

Improving The Operational Environment Thru Internet Utilization

This study demonstrates how an Internet based network of railroad information resources can provide a dynamic, cost effective resource to help management improve their operational environment. The informational and knowledge sources needed to support the interoperability and integration of rail networks and their employees are increasingly available via the Internet. Public resources on the Internet primarily support the distribution of industry publications, notice and proceedings of industry conferences and meetings, communications about legal and legislative issues, and advertisements. Private resources on the Internet support reservation and scheduling of rail equipment, tendering shipment information, tracking equipment movements, and verifying billing information. Much of the private information is incorporated into the knowledge management systems developed by individual railroads. The study provides a proposed stratification of these resources into seven categories: Research and Statistical Resources, Newsletters and Press Releases, Industry Initiatives, Legislative Information, Industry Publications, Professional Associations, and Educational Resources.

Development of an on-line Irish food composition database for nutrients

Food composition databases underpin national dietary surveys, support epidemiological and experimental research in human nutrition and are essential in the development of food regulations and dietary guidelines. To date, nutrition researchers in Ireland have not had access to national food composition data and have relied heavily on borrowed data—mainly from the United Kingdom. The aim of this project was to compile an on-line Irish food composition database, which is compatible with international standards. Data on foods specific to the Irish population, including commonly consumed manufactured products, composite dishes and nutritional supplements, were collected between 1997 and 2006 during national dietary intake surveys. In conjunction with EuroFIR (European Food Information Resource Network of Excellence), these foods have been compiled using standardised methodology. The database comprises 938 foods, with values for 41 components. Values for packaged products were sourced from manufacturers and values for composite dishes were calculated from ingredients. Homemade meat, fish and vegetable dishes, manufactured cereal products and nutritional supplements are the key foods in the database. The Irish food composition database is available on-line (http://www.ucc.ie/en/ifcdb) and is incorporated in the EuroFIR eSearch facility (http://www.eurofir.eu) alongside other European national and specialised food composition databases.