A partially-open-access peer-reviewed journal that provides a forum for 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.
An open access journal that publishes scholarly research papers, methodologies and case studies covering big data analytics, data-intensive computing and applications of big data research. The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems.
Scientific Data is an open-access, peer-reviewed publication for descriptions of scientifically valuable datasets. Its primary article-type, the Data Descriptor, is designed to make data more discoverable, interpretable and reusable.