EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.

《Epj Data Science》是一本由SPRINGER出版商出版的专业工程技术期刊，该刊创刊于2012年，刊期1 issue/year，该刊已被国际权威数据库SSCI、SCIE收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：工程技术 3区，小类学科：数学跨学科应用 2区；在JCR（Journal Citation Reports）分区等级为Q1。该刊发文范围涵盖数学跨学科应用等领域，旨在及时、准确、全面地报道国内外数学跨学科应用工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2021年影响因子为3.63，平均审稿速度13 Weeks。