Opportunities and Implementation of Big Data Management in Academic Libraries

Data has changed the world in an unbelievable way and made an impact on our lifestyles at an exceptional rate. Big data is now the latest science of exploring and forecasting human-machine behavior dealing with a massive amount of associated data. The study is intended to understand the intensity and the competencies of librarians in implementing big data initiative project in academic libraries by the Government of Karnataka State. The study also tries to understand the application of big data in these libraries; 68 (87.17%) librarians completed the survey out of 78 respondents. The results of the study showed a strong association, that is, 72 (92.30%) respondents had the essential competencies and 58 (75.64%) librarians ability, intensity, readiness in implementing big data in academic libraries.

Is Twitter an Unexploited Potential in Indian Academic Libraries?

Social media have revolutionized today's globalized world including all spheres of modern human being. Among many social networking sites (SNSs), Twitter is one of the most popular. Librarians all over the globe are increasingly using Twitter in their daily routine activities as well as promotion of their systems and services. This study is an attempt to map the Indian libraries' Twitter activity, taking academic libraries as case study. Selected Indian academic library tweets have collected form the Twitter using R programming language. The study further compares few develop countries' academic library tweets. The study observed that Indian academic libraries are very limited activities in Twitter. The sentiment analysis shows that library Tweets are more positive. The study recommends more Twitter activity for Indian academic libraries to attract their users. With the more Twitter activities, library's image will be more friendly and acceptable to the young users particularly the college and university students.

Opportunities and Challenges of Using Big Data Applications in Institutions of Higher Learning Libraries and Research Institutions

The chapter documents opportunities and challenges experienced when using big data applications in libraries. The objective of the study was to examine the big data applications that are used in libraries. The big data concept is new, and some librarians are not aware of it while others do not have the knowledge and skills of using big data applications. A structured literature review was done to examine how libraries use big data. The search terms that were used were “big data AND libraries.” The findings revealed that libraries are generating big data. The challenges that are experienced include data accuracy, data confidentiality and security, lack of skills to deal with data reduction and compression, and the unavailability of big data processing systems and technology in libraries. The author recommends the up skilling of librarians so that they are able to deal with the challenges of working with big data applications.

Big Data and Knowledge Resource Centre

The explosion of information has transformed libraries into knowledge resource centres. Explosion of information is in many forms, and it can be explored in terms of “big data”. Library professionals should be aware that using big data in resource management is a need of today's era. Management of big data in knowledge resource centre is a big challenge of librarianship. Knowledge resource centre includes information in multiple formats. Handling this information is sort of handling big data in knowledge resource centres. In this chapter, the authors discuss arrangement of big data to fulfill requirements of users effectively. The different segments of library including big data are explored. It discusses the various problems, challenges, and issues involved in big data of knowledge resource centres.

Awareness of Big Data Usage and Applications Among Librarians in Zimbabwe

The chapter showcases the awareness of big data usage among librarians in Zimbabwe. The concept of big data is new, and librarians are building capacity to move with the current trends in librarianship. This chapter assists in pointing areas where big data can be applied in libraries. It also documents the challenges that are faced when using big data applications and proffer solutions that can be applied to deal with those challenges. It answers the question of whether it is practical to utilise big data in any type of library. A qualitative study was done where an online questionnaire was administered to twenty librarians in research institutions in Zimbabwe. The findings revealed that librarians are aware of the big data concept but are not utilising the tools and techniques in data mining and analysis. The authors recommend that capacity building should be done to equip librarians with the requisite skills.

Landscape of Big Data Research in India

We all know that data has become a new fuel to the fast paced technology-driven world. And the academicians and researchers are doing their best for getting better into moulding the data-driven society to keeping it updated every day. Indian academicians and researchers are also doing their best in field of big data research studies. This chapter will focus the research landscape of big data research in India. This scientometric evaluation will let us know how India is going forward in this research area with some specific statistics in scientific community.

Real-Time Recommendation Engine for Readers

In today's world, every reader or social media user has different choices/hobbies in terms of reading. For example, if any social media user is searching for a book to read without any specific idea of what s/he wants, s/he wastes a lot of time browsing around on the internet and crawling/trawling through various sites hoping that s/he might get good book. To avoid confusion, the authors are building a recommendation system for every reader/user that helps to recommend a book based on his choices, hobbies, or what s/he had read previously that will be massive help for users instead wasting time on various sites. Data from social media is the powerful fuel that can be used to helps in decision making and building a recommendation engine. Social media data in the different format is biggest challenge for the business to ingest data at the reasonable speed and further process. In social media data, it is difficult to detect and capture data. Real-time recommendation engine for users, which includes data ingestion methods, challenges, metadata problem, analysis, and consumption, is discussed here.

Application of Big Data Techniques for Efficient Web-Based Library Services Using Big Data

Information communication technology is growing at a faster speed and diversified way. Cloud computing, internet of things, 5G, and such technologies are gearing-up and resulting in proliferation of data. Data is a raw information and it has created a big data. To handle such data, big data techniques are emerging. Library and information science is a big-way service profession that mediates between the data/information and the users, letting them be students, researchers, technocrats. Big data, mostly digital data, is being generated through multiple on-line surveys and repositories. Digital and social media is the main source of generating such data. Analyzing such data according to user needs is a huge task. This is the challenge now a days to organize the data explosion, specially the volume and variety of data. Big data analytics proves to be a major help in organizing and fetching data sets pertaining to user query. The authors, in this chapter, deal with four major services of libraries, wherein time efficiency can be achieved through big data analytics. Authors have focused on thrust areas of library and information science and indicate the benefits of big data analytics for service efficiency.

Data Visualization and Data Granularity in Delivering Research Data in African Libraries

Data has been named the new oil that drives development both in academia and in the business world. It has been used to develop new products across all sectors of the global economy and recently in agriculture through precision agriculture and robotic farming. It should, however, be noted that no matter the potential for change and development a data set contains, it is very important to deploy the right interpretation techniques to make the data useful and meaningful. This chapter explores themes such as data visualization tools, data granularity, and data visualization tools. It also explained the advantages of data visualization and the types of data African libraries should be collecting.

Big Data Concept Information Literacy Perspectives and Applications in Academic Environments

The investigators have brought out the history of big data, its meaning, its different types such as web data, text data, location and time data, social network data, etc. The characteristics of big data such as volume, velocity, variety, and complexity are discussed. Application of big data in various fields in everyday life is discussed in different fields such detection of fraud, application in agriculture field, banking implication, healthcare implication. Entertainment and media industry is also using it effectively. Big data is also used in weather forecasting, transportation industry, education industry, and sports sector. Future of big data is bright. More data on everything is available today. One needs to analyse everything today in order to implement policies. Software is available to process such voluminous data. The chapter also discusses the influence of big data on Indian governance, digitalization in India, finance and banking sector. In conclusion, one can say there is bright future of big data in various private and public sectors. Today's problem is information overload. One has to be very dexterous in disseminating using information with the help of web tools and software one can use. The investigators also discuss the perspectives and applications in academic. Voluminous data available in the academic environment requires proper accumulation, assembly, access, curation, retrieval, and dissemination. Dexterous skills are required for handling this situation. Information literacy deals with accessing, evaluating, and ethically using information.