Website: Data Science: Journals/Books

Journals

arXiv.org
“Open access to 1,604,997 e-prints in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Submissions to arXiv should conform to Cornell University academic standards. arXiv is owned and operated by Cornell University, a private not-for-profit educational institution. arXiv is funded by Cornell University, the Simons Foundation and by the member institutions.” (arXiv.org)
CODATA Data Science Journal
Data & Knowledge Engineering
Data in Brief
Data Mining and Knowledge Discovery
Earth System Science Data (ESSD)
“Earth System Science Data (ESSD) is an international, interdisciplinary journal for the publication of articles on original research data (sets), furthering the reuse of high-quality data of benefit to Earth system sciences.”
GigaScience
GigaScience is an open access, open data, open peer-review journal focusing on ‘big data’ research from the life and biomedical sciences.
International Journal of Big Data Intelligence and Applications (IJBDIA)
International Journal of Data Analytics
International Journal of Data Warehousing and Mining
Journal of Data and Information Quality (JDIQ)
A journal of the ACM
Journal of Database Management
Journal of Open Archaeology Data
Journal of Open Psychology Data
Scientific Data
From the U.S. National Library of Medicine, National Institutes of Health.
Transaction on Knowledge Discovery from Data (TKDD)
A journal of the ACM

Featured Books

The Data Literacy Cookbook by Kelly Getz (Editor); Meryl Brodsky (Editor)
Call Number: eBook
Publication Date: 2022
Data literacy enables students and researchers to access, interpret, critically assess, manage, handle, and ethically use data. This book includes a variety of approaches to and lesson plans for teaching data literacy, from simple activities to self-paced learning modules to for-credit and discipline-specific courses.
Data Science Foundations Tools and Techniques by Michael Freeman; Joel Ross
Call Number: QA276.45.R3 F74 2019
Publication Date: 2018
The Foundational Hands-On Skills You Need to Dive into Data Science. Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience.
Data Science for Undergraduates by National Academies of Sciences, Engineering, and Medicine; etc.
Call Number: eBook
Publication Date: 2018
Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow.
Data science algorithms in a week : top 7 algorithms for scientific computing, data analysis, and machine learning by Dávid Natingga
Call Number: eBook
Publication Date: 2018
Roundtable on Data Science Postsecondary Education by National Academies of Sciences, Engineering, and Medicine; etc.
Call Number: eBook
Publication Date: 2020
Identifies the challenges of and highlights best practices in postsecondary data science education. Four themes: foundations of data science; data science across the postsecondary curriculum; data science across society; and ethics and data science.
Data Strategy by Ian Wallis
Call Number: eBook
Publication Date: 2021
This book is your essential guide to planning, developing and implementing data strategies, presenting a framework which takes you from data strategy definition to successful strategy delivery and execution with support and engagement from stakeholders. Key topics include data-driven business transformation, change enablers, benefits realisation and measurement.
Data Lives by Rob Kitchin
Call Number: eBook
Publication Date: 2021
In Data Lives, renowned social scientist Rob Kitchin explores the intricacies of data creation and charts how data-driven technologies have become essential to how society, government and the economy work. Creatively blending scholarly analysis, biography and fiction, he demonstrates how data are shaped by social and political forces, and the extent to which they influence our daily lives.