Scientific Data

期刊简介：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.

【译文】Scientific Data是一本同行评审、开放获取的期刊，主要发表关于科学数据集的描述以及促进科学数据共享和再利用的研究。我们旨在推广更广泛的数据共享和再利用，并认可那些共享的人。Scientific Data主要发表数据描述，这是一种新的出版物类型，提供了研究数据集的详细描述，包括收集数据的方法和技术分析，以支持测量的质量。数据描述侧重于帮助他人再利用数据，而不是测试假设，或展示新的解释、方法或深入分析。Scientific Data也欢迎描述现有数据分析或元分析的投稿，以及关于系统、技术和技术的原创文章，这些技术和方法可以促进数据共享和再利用，以支持可重复研究。Scientific Data提供了一种简化和彻底的同行评审流程，评估用于生成数据实验的严谨性和质量以及数据描述的完整性。实际数据存储在一个或多个公共、社区认可的存储库中，数据发布是发表的条件之一。Scientific Data接受来自广泛自然科学学科的投稿，包括但不限于来自生命、生物医学和环境科学社区的数据。投稿可以描述大数据或小数据，来自新实验或现有数据的增值聚合，来自主要联盟和单个实验室。我们还愿意考虑来自社会科学的定量数据集的描述，尤其是那些可能对跨越生命、生物医学、环境和社会科学传统学科边界综合分析有用的数据。