Big Data Technology for Scientific Research The continued and rapid evolution of big data technology and services has formed a fertile foundation for scientific applications in the past several years.

This article was published in Scientific American’s former blog network and reflects the views of the author, not necessarily those of Scientific American Smartphone-collected Big Data has the ...

This is the fifth and final article in an editorial series with a goal to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, ...

One of the most conspicuous examples of big data in action is Google’s data-aggregating tool Google Flu Trends (GFT). The ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Big Data Analytics and Information Systems represent a synergistic field that harnesses vast volumes of digital data to derive actionable insights and support decision-making across diverse sectors.

Drawing on his leadership roles within the SiLA Consortium and ASTM’s The Analytical Information Markup Language (AnIML), Schaefer explains why open standards and lightweight metadata are essential to ...

Vast amounts of valuable research data remain unused, trapped in labs or lost to time. Frontiers aims to change that with FAIR² Data Management, a groundbreaking AI-driven system that makes datasets ...

Big data can help make Americans healthier, and the Trump Administration has stated—in its recently released Make America Healthy Again report and elsewhere—that building a national big-data platform ...