Scientific Data（科学数据杂志）影响因子_期刊投稿发表

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.

《科学数据》是一本同行评审、开放获取的期刊，用于描述具有科学价值的数据集，以及促进科学数据共享和重用的研究。我们的目标是促进更广泛的数据共享和再利用，并对共享的数据给予赞扬。科学数据主要出版数据描述符，这是一种新型出版物，提供研究数据集的详细描述，包括用于收集数据的方法和支持测量质量的技术分析。数据描述符侧重于帮助他人重新使用数据，而不是测试假设，或提出新的解释、方法或深入分析。科学数据还欢迎提交描述现有数据的分析或元分析的文章，以及关于系统的原创文章，技术和技巧，促进数据共享和重复使用，以支持可复制的研究。科学数据提供了一个精简但全面的同行评价用于生成数据的实验的严格性和质量以及数据描述的完整性的审查过程。实际数据存储在一个或多个公共的、社区认可的存储库中，数据的发布经过验证，作为发表的条件。科学数据向广泛的自然科学学科开放，包括但不限于生命、生物医学和环境科学界的数据。提交的资料可能描述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的大数据或小数据。我们也愿意考虑对社会科学定量数据集的描述，特别是那些可能用于跨越生命、生物医学、环境和社会科学之间传统学科界限的综合分析的数据集。

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