
Scientific Data
ISSN | 2052-4463 | 影响因子 | 6.9 | 自引率 | 5.80% | 研究类文章占比 | 100.00% | 中科院分区 | 综合性期刊 2区 |
h-index | 35 | 年文章数 | 暂无 | OA文章占比 | 99.80% | JCI期刊引文指标 | 1.68 | JCR分区 | Q2 |
期刊简称
SCI 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.
期刊官网
http://www.nature.com/sdata/
投稿网址
https://mts-scidata.nature.com/cgi-bin/main.plex
通讯方式
出版商
出版周期
语言
创刊时间
所属国家/地区
涉及的研究方向
是否OA
Yes
PubMed Central链接
http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2052-4463%5BISSN%5D
SCI期刊收录coverage
中国科学院《国际期刊预警名单(试行)》名单
2025年03月发布的2025版:不在预警名单中
2024年02月发布的2024版:不在预警名单中
2023年01月发布的2023版:不在预警名单中
2021年12月发布的2021版:不在预警名单中
2020年12月发布的2020版:不在预警名单中
2025年中国科学院期刊分区
大类学科 | 小类学科 | 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 |
Cite Score
Cite Score | SJR | SNIP | 排名 | |||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8.40 | 1.867 | 2.113 |
|
历年JCR分区
[["2018-2019年度", "2019-2020年度", "2020-2021年度", "2021-2022年度", "2022-2023年度", "2023-2024年度"], [2, 2, 2, 2, 2, 2]]
历年影响因子
[["2015-2016年度","2016-2017年度","2017-2018年度","2018-2019年度","2019-2020年度","2020-2021年度","2021-2022年度","2022-2023年度","2023-2024年度","2024-2025年度"],[0,4.836,5.311,0,5.541,6.444,8.501,9.8,5.8,6.9]]
历年自引率
[["2015-2016年度","2016-2017年度","2017-2018年度","2018-2019年度","2019-2020年度","2020-2021年度","2021-2022年度","2022-2023年度","2023-2024年度","2024-2025年度"],[0,2.2,5.5,0,5.4,3.6,2.4,4.1,5.2,5.8]]
历年文章数量
[["2014-2015年度","2015-2016年度","2016-2017年度","2017-2018年度","2018-2019年度","2019-2020年度","2020-2021年度","2021-2022年度","2022-2023年度","2023-2024年度","2024-2025年度"],[0,0,117,191,284,357,412,290,761,877,1405]]