Big Data Journal Inaugural Issue Launched
Led by Editor-in-Chief, Edd Dumbill, program chair for the Strata conference, the Journal will address the complicated questions surrounding the powerful and growing field of data discovery. The free access inaugural issue includes premium content from leading experts in the field.
New Rochelle, NY, February 13, 2013 -
Big Data, the new groundbreaking, open access, peer-reviewed journal published by Mary Ann Liebert, Inc., publishers, will launch its inaugural issue at the Strata conference in Santa Clara, CA, February 26-28, 2013.
Spearheaded by Editor-in-Chief, Edd Dumbill, principal analyst for O'Reilly Radar, and program chair for the O'Reilly Strata conference, the Journal will address the complicated questions surrounding the powerful and growing field of data discovery and provide the necessary focus to bring together data-driven research and experience in big data from a broad array of disciplines, whether technical, social, or industrial. The issue is available free on the Big Data website.
The inaugural issue includes premium content from leading experts in the field, including
- a regularly featured column "Broad Data," from the Tetherless World Senior Constellation Professor, Jim Hendler
- a meeting report contributed by the Director of Data Science at LinkedIn, Daniel Tunkelang, "Symposium on Human-Computer Information Retrieval"
- an opinion piece on "Big Data and Development" by Robert Kirkpatrick, Director of U.N. Global Pulse
- provocative interviews with Jim Adler, Chief Privacy Officer and General Manager of Data Systems at Intelius, about big data and thought crime,
- and Rick Smolan, CEO, Against All Odds Productions, on his new and innovative book The Human Face of Big Data
- an article by Foster Provost, (NYU) and Thomas Fawcett (Proofpoint) on "Data Science and its Relationship to Big Data and Data-driven Decision Making"
- an article by Chaitanya Baru et al. on "Benchmarking Big Data Systems and the Big Data Top 100 List."
By providing a unique forum for the vast dissemination of world-class data science research that addresses the challenges and opportunities in big data, the Journal will bring the field of big data and the skills of the data scientist to a new level of excellence. To ensure the broadest and most timely dissemination of research and experience, Big Data will publish under the Creative Commons Attribution license ("CC-BY").
About the Journal
Big Data will facilitate and support the efforts of researchers, analysts, statisticians, business leaders, and policymakers to improve operations, profitability, and communications within their organizations. Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal will bring together the community to address the challenges and discover new breakthroughs and trends living within this information. The Journal will be published in print and online.