《Scientific Data》是一本由NATURE RESEARCH出版商出版的专业综合性期刊期刊，该刊创刊于2014年，刊期1 issue/year，该刊已被国际权威数据库SCIE收录。在中科院最新升级版分区表中，该刊分区信息为大类学科：综合性期刊 2区，小类学科：综合性期刊 2区；在JCR（Journal Citation Reports）分区等级为Q1。该刊发文范围涵盖综合性期刊等领域，旨在及时、准确、全面地报道国内外综合性期刊工作者在该领域取得的最新研究成果、工作进展及学术动态、技术革新等，促进学术交流，鼓励学术创新。2021年影响因子为8.501，平均审稿速度16 Weeks。

Scientific Data英文介绍

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.

Scientific Data中科院分区

大类学科	分区	小类学科	分区	Top期刊	综述期刊
综合性期刊	2区	MULTIDISCIPLINARY SCIENCES 综合性期刊	2区	否	否

Scientific Data期刊近9年JCR分区变化趋势

Scientific DataJCR分区(JCR2021-2022年分区)

JCR分区等级	JCR所属学科	分区	影响因子
Q1	MULTIDISCIPLINARY SCIENCES	Q1	8.501

Scientific Data期刊近7年影响因子变化趋势

Scientific Data期刊的CiteScore值(CiteScore2021-2022年CiteScore值)

CiteScore	SJR	SNIP	学科类别	分区	排名	百分位
12.60	2.468	3.402	大类：Social Sciences 小类：Education	Q1	5 / 1406	99%
			大类：Social Sciences 小类：Statistics, Probability and Uncertainty	Q1	1 / 152	99%
			大类：Social Sciences 小类：Statistics and Probability	Q1	2 / 250	99%
			大类：Social Sciences 小类：Library and Information Sciences	Q1	5 / 247	98%
			大类：Social Sciences 小类：Computer Science Applications	Q1	31 / 747	95%
			大类：Social Sciences 小类：Information Systems	Q1	21 / 353	94%

Scientific Data期刊近7年自引率变化趋势

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