Sci Data
Scientific Data is a peer-reviewed, open-access journal published by Springer Nature, dedicated to the publication of high-quality descriptions of research datasets. With an ISSN of 2052-4463 and a 2026 Impact Factor of 8.5010, the journal is positioned in the Q1 quartile of the JCR, reflecting its strong standing and influence within the scientific community. The journal’s scope is broad, encompassing data from all disciplines of natural and biomedical sciences, including but not limited to biology, medicine, physics, chemistry, and earth sciences. Rather than publishing traditional research articles or reviews, Scientific Data focuses exclusively on Data Descriptors—a specific article type that provides a detailed, structured account of a dataset, including the methods used to generate and process the data, as well as its technical quality and reuse potential. These descriptors do not present new hypotheses or analyses but instead serve as citable, peer-reviewed publications that facilitate data sharing and reproducibility. The primary target audience includes researchers who generate large-scale datasets, as well as those seeking to reuse or validate existing data. A notable feature of the journal is its mandatory open-access model, ensuring that all published Data Descriptors and associated datasets are freely available to the global research community. This commitment to transparency, combined with its rigorous peer-review process and high impact factor, makes Scientific Data a leading venue for promoting data-driven discovery and advancing the principles of open science.