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Big Data

Editor-in-Chief: Vasant Dhar

ISSN: 2167-6461 • Online ISSN: 2167-647X • Published Quarterly

Current Volume: 4

Featured Press Releases and Editorial Content

  • Novel Type 2 Diabetes Risk Model More Accurately Assesses Disease Trajectory...Read More
  • Simulation Tool Uses FinTech Quant Techniques and Big Data to Guide Selection of Best Health Insurance Plan...Read More
  • Data Overload from Personal Tracking Devices: A Waste or An Opportunity?...Read More
  • Electronic Healthcare Records Data Reveal Factors Linked to Emergency Department Revisits...Read More
  • Big Data is Transforming Healthcare--from Diabetes to the ER to Research...Read More
  • Can Data on TV Watching Predict Presidential Election Outcomes?...Read More
  • The Kavli HUMAN Project – Big Data to Provide Unprecedented Insights on Health and Behavior...Read More
  • New Joint Military-Civilian Database Provides Insights on Health Care Outcomes, Utilization, and Costs...Read More
  • Large-Scale Analytics System for Predicting Major Societal Events Described in Big Data Journal...Read More
  •  Can Big Data Make Sense of Climate Change?  Read More
  • Vasant Dhar, Director of NYU Stern's Center for Business Analytics, Appointed Editor-in-Chief of Big Data...Read More


Big Data, a highly innovative, peer-reviewed journal, provides a unique forum for world-class research exploring the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data, including data science, big data infrastructure and analytics, and pervasive computing.

The Journal addresses questions surrounding this powerful and growing field of data science and facilitates the efforts of researchers, business managers, analysts, developers, data scientists, physicists, statisticians, infrastructure developers, academics, and policymakers to improve operations, profitability, and communications within their businesses and institutions.

Spanning a broad array of disciplines focusing on novel big data technologies, policies, and innovations, the Journal brings together the community to address current challenges and enforce effective efforts to organize, store, disseminate, protect, manipulate, and, most importantly, find the most effective strategies to make this incredible amount of information work to benefit society, industry, academia, and government.

Big Data coverage includes:

  • Big data industry standards
  • New technologies being developed specifically for big data
  • Data acquisition, cleaning, distribution, and best practices
  • Data protection, privacy, and policy 
  • Business interests from research to product
  • The changing role of business intelligence
  • Visualization and design principles of big data infrastructures
  • Physical interfaces and robotics
  • Social networking advantages for Facebook, Twitter, Amazon, Google, etc.
  • Opportunities around big data and how companies can harness it to their advantage

Big Data is under the editorial leadership of Editor-in-Chief Vasant Dhar, PhD, Stern School of Business, New York University, and other leading investigators. View the entire  editorial board.

Audience: Data miners, computer scientists, statisticians, researchers, chief data scientists, database engineers, software engineers, web developers, policy makers, CEOs of data startups, professors of computer science, mathematics, physics, statistics, and computational biology, among others.

Indexed/Abstracted in:

PubMed Central; Science Citation Index Expanded; Journal Citation Reports/Science Edition; Emerging Sources Citation Index

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The views, opinions, findings, conclusions and recommendations set forth in any Journal article are solely those of the authors of those articles and do not necessarily reflect the views, policy or position of the Journal, its Publisher, its editorial staff or any affiliated Societies and should not be attributed to any of them.

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