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Full-Text Articles in Library and Information Science

Open Access E-Books On Big Data: An Analytical Study Through Doab, Sanghita De, Parikshit Mondal Sep 2020

Open Access E-Books On Big Data: An Analytical Study Through Doab, Sanghita De, Parikshit Mondal

Library Philosophy and Practice (e-journal)

  1. Purpose: This study attempts to trace out the trend of use of open access e-books on Big Data through analytical study of bibliometric fields of the books.
  2. Design methodology: The present quantitative study analyses different bibliographical attributes of the books like title, degree of author collaboration, citation, density of keywords, trend of subject, and marketing areas etc.
  3. Findings: The bibliographic analysis of 127 books available in DOAB, finds that in spite of having a rising interest on the topic Big Data, a visible gap is seen in the availability of resources found in DOAB in the form of books …


Big Data And Openness: A Big Issue With Librarians, Oluwaseyi Wusu Aug 2020

Big Data And Openness: A Big Issue With Librarians, Oluwaseyi Wusu

Library Philosophy and Practice (e-journal)

Big data refers to the explosion of available information and knowing how to handle it is a big challenge to librarians in this age. The massive sample size and high dimensionality of big data introduce unique challenges to librarians, including scalability, sharing, intellectual properties and storage bottleneck. This paper overviews the opportunities and challenges brought by big data to librarians and presents ways of making data available for everyone to use without limitations, with emphasis on the distinguished roles librarians need to play in the era of Big Data and Openness to scholarly communications and, also presents the precision and …


Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii Jan 2020

Exploring Mid-Market Strategies For Big Data Governance, Kenneth Stanley Knapton Iii

Walden Dissertations and Doctoral Studies

Many data scientists are struggling to adopt effective data governance practices as they transition from traditional data analysis to big data analytics. Data governance of big data requires new strategies to deal with the volume, variety, and velocity attributes of big data. The purpose of this qualitative multiple case study was to explore big data governance strategies employed by data scientists to provide a holistic perspective of those data for making decisions. The participants were 10 data scientists employed in multiple mid-market companies in the greater Salt Lake City, Utah area who have strategies to govern big data. This study’s …