Scientific Data is a peer-reviewed, open-access journal for descriptions of scientifically valuable datasets, and research that advances the sharing and reuse of scientific data. We aim to promote wider data sharing and reuse, and to credit those that share.
Scientific Data primarily publishes Data Descriptors, a new type of publication that provides detailed descriptions of research datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurements. Data Descriptors focus on helping others reuse data, rather than testing hypotheses, or presenting new interpretations, methods or in-depth analyses.
Scientific Data also welcomes submissions describing analyses or meta-analyses of existing data, and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research.
Scientific Data offers a streamlined but thorough peer-review process that evaluates the rigour and quality of the experiments used to generate the data and the completeness of the description of the data. The actual data are stored in one or more public, community-recognized repositories, and release of the data is verified as a condition of publication.
Scientific Data is open to submissions from a broad range of natural science disciplines, including, but not limited to, data from the life, biomedical and environmental science communities. Submissions may describe big or small data, from new experiments or value-added aggregations of existing data, from major consortiums and single labs. We are also willing to consider descriptions of quantitative datasets from the social sciences, particularly those that may be of use for integrative analyses that stretch across the traditional discipline boundaries between the life, biomedical, environmental and social sciences.
Data Descriptors may describe data from new or published studies, and can be published alongside traditional research works. Data Descriptors that describe previously published datasets must provide new content sufficient to merit further publication: for example, updates to important datasets, fuller release of a dataset, or additional information that aids reuse. Please see our policies on complementary and prior publication.

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Susanna-Assunta Sansone
Honorary Academic Editor
Susanna focuses on the strategic development of Scientific Data, particularly by fostering relationships with the scientific community and helping to define standards for data reuse. She did her PhD at Imperial College London, and then spent a few years at a private vaccine company before moving into data management and biocuration at the European Bioinformatics Institute (EMBL-EBI), in Cambridge. In 2010, Susanna joined the University of Oxford e-Research Centre, where she is an Associate Director and Principal Investigator, and an Associate Professor at the Department of Engineering Science. Her team works on methods and software for curating, sharing and enabling reproducible research. She also works with funding agencies and informatics initiatives to promote community-developed ontologies and standards, and is on the board of several community standardization efforts and open science advocacy initiatives. https://sansonegroup.eng.ox.ac.uk/
Andrew L Hufton
Chief Editor
Andrew is responsible for the editorial policies of Scientific Data, in consultation with the Honorary Editor, and works with the Editorial Board to ensure a fair and thorough peer-review process for all submissions. Andrew received his PhD from Stanford University in 2006, and did postdoctoral work at the Max Planck Institute for Molecular Genetics in Berlin. His research included topics in developmental genetics, computational biology and genome evolution. Before joining Scientific Data, Andrew worked as an Editor at Molecular Systems Biology.
Varsha Khodiyar
Data Curation Editor
Varsha is responsible for managing our in-house curation team, who create the machine-accessible metadata files associated with articles published in Scientific Data. In collaboration with the Editorial Board and relevant members of the scientific community, Varsha works to ensure that the most appropriate metadata are being captured for the published data from each community. Varsha began her career in curation after receiving her PhD from the University of Leicester. Based at University College London, she initially worked for the Human Gene Nomenclature Committee, which was followed by an 8 year stint as a Gene Ontology annotator. Prior to joining Scientific Data, Varsha worked on open data publication at the life science journal F1000Research.
Veronique van den Berghe
Associate Editor
Veronique obtained her PhD at KU Leuven in Belgium where she investigated the development and migration of cortical interneurons in the mouse embryo. She went on to do postdoctoral work at the Instituto de Neurociencias in Spain and at King’s College London looking at the integration of these neurons in the postnatal brain. Prior to joining Scientific Data, Veronique was an editor at Genome Biology and Nature Biotechnology.
详见：https://www.nature.com/sdata/about/editorial-board#editors