EPJ Data Science is a peer-reviewed open access journal published under the SpringerOpen brand and spans a range of research areas with a focus on data-driven science
A platform for discussing the application of data-driven approaches across many disciplines with emphasis on techno-socio-economic systems
Covers extraction, analysis, enrichment and interpretation of data regarding complex natural and artificial systems
Investigates new empirical laws, or more fundamental theories, concerning the function of complex systems
EPJ Data Science is a platform for discussing the challenges of applying data-driven science to a range of research areas, with a focus on techno-socio-economic systems including human and animal social behavior and interaction, economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, and more.