Scientific Data, a Nature Portfolio journal, is a multidisciplinary, open-access platform for researchers to publish descriptions of scientifically valuable datasets, promoting data sharing and reuse. It focuses on scientific data across various disciplines, ranging from biological sciences to engineering and environmental sciences. The journal emphasizes the importance of making data accessible and reusable, adhering to the FAIR principles (Findable, Accessible, Interoperable, Reusable). This streamlines the research process and helps accelerate scientific discoveries.
Key topics covered include data acquisition protocols, data processing methodologies, and data validation techniques. The journal accepts submissions describing a wide range of data types, including experimental data, observational data, and simulated data. Scientific Data is indexed in databases such as Web of Science and Scopus, ensuring broad visibility and accessibility for published data. Its target audience includes researchers, data scientists, and policymakers interested in leveraging data to address complex scientific questions.
By publishing detailed data descriptors, Scientific Data aims to foster collaboration, transparency, and reproducibility in scientific research. This commitment enhances the impact of research findings, accelerating the pace of discovery. Submit your valuable datasets to Scientific Data and contribute to a more open and collaborative scientific community. Consider publishing in Scientific Data to increase the visibility and impact of your research.