Research Data Analysis Using EViews

The aim of this chapter is to provide a detailed empirical example of autoregressive conditional heteroskedasticity (ARCH) model and selected generalized ARCH models. Before the ARCH/GARCH models are estimated, several calculations and tests should be done. The mean model is determined using the autocorrelation function and partial autocorrelation function and also the unit root test. The existence of ARCH effect is tested using ARCH-LM test. After these steps are done, then ARCH/GARCH models can be estimated. All these theoretical aspects are applied to Sofia Stock Indexes (SOFIX) using EViews 9 software package. The windows and output of EViews are presented. To show the output's academic writing format researchers' outputs are presented in a table.

Institutional Repositories in Africa

The emergence of open access has opened a world of opportunities for academic and research institutions. One of such opportunities is the establishment of institutional repositories (IRs). This chapter examined the emergence and creation of IRs and trends in Africa. It noted that the development of IRs in most African countries is still at the infancy stage. The chapter highlighted the important role of libraries in the management of IRs. The Chapter also identified and discussed important issues and challenges of IRs in Africa. The identified challenges include lack of awareness, lack of required funding to establish and manage IRs, lack of Information and communication technology infrastructure, among others. It concluded that the establishment of IRs is a compulsory venture for institutions of higher learning in Africa.

A Survey on Data Mining Techniques in Research Paper Recommender Systems

In this chapter, the authors give an overview of the main data mining techniques that are utilized in the context of research paper recommender systems. These techniques refer to mathematical models and tools that are utilized in discovering patterns in data. Data mining is a term used to describe a collection of techniques that infer recommendation rules and build models from research paper datasets. The authors briefly describe how research paper recommender systems' data is processed, analyzed, and then, finally, interpreted using these techniques. They review different distance measures, sampling techniques, and dimensionality reduction methods employed in computing research paper recommendations. They also review the various clustering, classification, and association rule-mining methods employed to mine for hidden information. Finally, they highlight the major data mining issues that are affecting research paper recommender systems.

Information Processing in Research Paper Recommender System Classes

Research-related publications and articles have flooded the internet, and researchers are in the quest of getting better tools and technologies to improve the recommendation of relevant research papers. Ever since the introduction of research paper recommender systems, more than 400 research paper recommendation related articles have been so far published. These articles describe the numerous tools, methodologies, and technologies used in recommending research papers, further highlighting issues that need the attention of the research community. Few operational research paper recommender systems have been developed though. The main objective of this review paper is to summaries the state-of-the-art research paper recommender systems classification categories. Findings and concepts on data access and manipulations in the field of research paper recommendation will be highlighted, summarized, and disseminated. This chapter will be centered on reviewing articles in the field of research paper recommender systems published from the early 1990s until 2017.

Technological Innovation in Academic Libraries Among Universities

Innovation is no longer an option but a necessity for an organization to survive during a crisis. Innovations in terms of products, process, technologies, and services, can effectively be used to resolve the crisis of the current educational system to survive and thrive in the 21st century. Academic libraries should re-think and re-invent the existing technologies, services, and facilities to fulfill the demands of users. Management, organization, and dissemination of information can be done quickly and effectively with the application of information and communication technology (ICT) in an innovative way. Technological innovation (TI) can be considered as an innovative solution for the sustenance of libraries during a crisis. This chapter attempts to describe the essence of TI in academic libraries and highlights the perceptions of librarians on TI in the university libraries system in India. Therefore, this chapter will explore individual innovative behavior and its influencing factors on technological innovation in academic libraries in Indian universities.

Digital Library and Distance Learning in Developing Countries

This chapter discussed the digital library and distance learning benefits and challenges in developing countries. It started with the general introduction of digital library and distance learning, and went further and discussed the nexus between the digital library and distance learning. The chapter further highlighted the benefits of digital library in distance learning. It also pointed out the challenges of distance learning in developing countries, such as finance, lack of conducive learning environment, poor policies on education, inadequate instructional materials, among others. The chapter further discussed the challenges of digital library in developing countries to include insufficient funding, high cost of instructional materials, insufficient and digital local content, and so on. The paper concluded that there is an urgent need for all stakeholders to take urgent attention in addressing the challenges of digital library in distance learning to create a full opportunity of what digital library provides in distance learning in developing countries.

Selection and Acquisition of Electronic Resources in Academic Libraries

With information explosion, there has been a rapid increase in the number of e-resources published across the world. In addition to this, the cost of e-resources has risen steeply. This has resulted in libraries finding it difficult to acquire all the required information resources from the budget available from its parent body. The problem of libraries is compounded by the growing costs of maintaining both print and online subscription and issues related to ‘perpetual' electronic access to back files. The print industry in the world is said to be on the decline. People prefer the electronic versions of the reading materials, because they are more portable, accessible and affordable. But there are many challenges/hurdles to this path, which we have to overcome with time, effort and ingenuity. There are certain challenges relating to their selection, acquisition, maintenance and preservation, etc., which need joint efforts of library professionals and associations. Electronic publishing of scholarly journals, emerging of consortia, pricing models of the publishers give new opportunities for libraries to provide instant access to information. Consortium, formed by a group of libraries, is a unique program to facilitate electronic access to scholarly databases and journals. The beneficiaries will be faculty, researchers, students and neighbor institutes engaged in pursuing higher education. Consortia will minimize the financial burden and pave the way for an enormous amount of saving of time, money, and manpower.

Delivering the Next-Generation Research Repository

Academic libraries are looking for ways to grow their involvement in and scale-up their support for research activities. The successful transition depends to a large extent on the library's ability to systematically manage data, break down information silos and unify workflows across the library, research office and researchers. Data repositories are at the heart of this challenge, yet often institutional repositories are not built to address the needs of modern research data management due to inability to store all research assets, lack of consistent data models, and insufficient workflows. This chapter will present a new approach to research data management that ensures visibility of research output and data, data coherency, and compliance with open access standards. The authors will discuss a ‘Next-Generation Research Repository' that spans multiple data management activities, including automated data capture, metadata enrichment, dissemination, compliance-related workflows, automated publication to scholarly profiles, as well as open integration with the research ecosystem.

Access to Research Online

The world is hungry for knowledge and quickly-producing researchers of varying caliber who are less dependent on the physical space than ever before. This presents a number of challenges to librarians, out of which issues related to technology stand out prominently. How can the library pave roads to curated digital content and make it easily accessible from any location? How does it remain relevant in the age of Google, sophisticated piracy and the open access movement? The chapter begins with an overview of IP-based and federated access technologies, touching on less-used methods as well. Personally-conducted interviews with library industry experts aim to determine current trends in order to provide a collective insight into future developments. These include the widespread migration towards cloud-based services, the global RA21 initiative, the open access movement, the need for better statistics, and new ways of content delivery, all of which affect libraries' demands for remote access in different ways.

Metaliteracy in Academic Libraries

Metaliteracy is very significant as it recognizes the conventional information skills. The framework of metaliteracy is staged on information literacy including new facets. The relevance of metaliteracy for the students is crucial in developing meta-literate learners. Discerning the goals and various learning objectives are concrete competencies and metaliteracy for the learning are the basic components. The elements of information literacy have been associated with social media in recent times. Digital literacy is accompanied with visual literacy as well as cyberliteracy in developing the metaliteracy resources and environment. In this current age, where the information has its own value in all the known and unknown contexts, the research is based on retrospective and the latest information. The discussion on the application of metaliteracy in learning and stake-holders considers as a reflective space with the analytical and observational thinking for the learning. The role of the librarian is instrumental while the creation of content takes place keeping the metaliteracy aspects in planning. The experiences of networked information, as well as engagement of students, are the stepping stones for the creation of learning spaces. The role of the learner as participants, contributor and metaliteracy and learner-centered design is associated with metaliteracy and course-design. In this context, the metaliteracy assignments are significant, the metaliteracy assignments are kind of a method to motivate the learners and find out hidden knowledge. The chapter provides an example of the Case of Jawaharlal Nehru University, New Delhi. It discusses the methods applied at Dr. B. R. Ambedkar Central Library, Jawaharlal Nehru University, New Delhi for inducing information literacy and metaliteracy among the scholars to include various training programs, workshops, etc. The details of various activities are discussed as various training programs which are focused on educating the users about library resources, accessing them, etc.