Big Data is the leading peer-reviewed journal covering the challenges and opportunities in collecting, analyzing, and disseminating vast amounts of data. 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