Scientific Data SCIE

國際簡稱：SCI DATA 參考譯名：科學數(shù)據(jù)

主要研究方向：Social Sciences-Education 非預警期刊審稿周期： 16 Weeks

《科學數(shù)據(jù)》(Scientific Data)是一本由Springer Nature出版的以Social Sciences-Education為研究特色的國際期刊，發(fā)表該領域相關的原創(chuàng)研究文章、評論文章和綜述文章，及時報道該領域相關理論、實踐和應用學科的最新發(fā)現(xiàn)，旨在促進該學科領域科學信息的快速交流。該期刊是一本開放期刊，近三年沒有被列入預警名單。該期刊享有很高的科學聲譽，影響因子不斷增加，發(fā)行量也同樣高。

2區(qū) 中科院分區(qū)
Q1 JCR分區(qū)
877 年發(fā)文量
5.8 IF影響因子
開放是否OA
35 H-index
2014 創(chuàng)刊年份
1 issue/year 出版周期
English 出版語言

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.

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Scientific Data期刊信息

ISSN：2052-4463
出版語言：English
是否OA：開放
E-ISSN：2052-4463
出版地區(qū)：United Kingdom
是否預警：否
出版商：Springer Nature
出版周期：1 issue/year
創(chuàng)刊時間：2014
開源占比：0.9973
Gold OA文章占比：99.69%
OA被引用占比：1
出版國人文章占比：0.08
出版撤稿占比：0.0024...
研究類文章占比：99.89%

Scientific Data CiteScore評價數(shù)據(jù)（2024年最新版）

CiteScore

SJR

SNIP

CiteScore 指數(shù)

11.2

1.937

1.91

學科類別	分區(qū)	排名	百分位
大類：Mathematics 小類：Statistics and Probability	Q1	6 / 278	98%
大類：Mathematics 小類：Statistics, Probability and Uncertainty	Q1	4 / 168	97%
大類：Mathematics 小類：Education	Q1	36 / 1543	97%
大類：Mathematics 小類：Library and Information Sciences	Q1	10 / 280	96%
大類：Mathematics 小類：Computer Science Applications	Q1	81 / 817	90%
大類：Mathematics 小類：Information Systems	Q1	42 / 394	89%

名詞解釋：CiteScore 是衡量期刊所發(fā)表文獻的平均受引用次數(shù)，是在 Scopus 中衡量期刊影響力的另一個指標。當年CiteScore 的計算依據(jù)是期刊最近4年（含計算年度）的被引次數(shù)除以該期刊近四年發(fā)表的文獻數(shù)。例如，2022年的 CiteScore 計算方法為：2022年的 CiteScore =2019-2022年收到的對2019-2022年發(fā)表的文件的引用數(shù)量÷2019-2022年發(fā)布的文獻數(shù)量注：文獻類型包括：文章、評論、會議論文、書籍章節(jié)和數(shù)據(jù)論文。

Scientific Data中科院評價數(shù)據(jù)

中科院 2023年12月升級版

Top期刊	綜述期刊	大類學科		小類學科
否	否	綜合性期刊	2區(qū)	MULTIDISCIPLINARY SCIENCES 綜合性期刊	2區(qū)

中科院 2022年12月升級版

Top期刊	綜述期刊	大類學科		小類學科
否	否	綜合性期刊	2區(qū)	MULTIDISCIPLINARY SCIENCES 綜合性期刊	2區(qū)

中科院 2021年12月舊的升級版

Top期刊	綜述期刊	大類學科		小類學科
否	否	綜合性期刊	2區(qū)	MULTIDISCIPLINARY SCIENCES 綜合性期刊	2區(qū)

中科院 2021年12月基礎版

Top期刊	綜述期刊	大類學科		小類學科
否	否	綜合性期刊	2區(qū)	MULTIDISCIPLINARY SCIENCES 綜合性期刊	2區(qū)

中科院 2021年12月升級版

Top期刊	綜述期刊	大類學科		小類學科
否	否	綜合性期刊	2區(qū)	MULTIDISCIPLINARY SCIENCES 綜合性期刊	2區(qū)

中科院 2020年12月舊的升級版

Top期刊	綜述期刊	大類學科		小類學科
否	否	綜合性期刊	2區(qū)	MULTIDISCIPLINARY SCIENCES 綜合性期刊	2區(qū)

Scientific Data JCR評價數(shù)據(jù)（2023-2024年最新版）

按JIF指標學科分區(qū)	收錄子集	分區(qū)	排名	百分位
學科：MULTIDISCIPLINARY SCIENCES	SCIE	Q1	16 / 134	88.4%

按JCI指標學科分區(qū)	收錄子集	分區(qū)	排名	百分位
學科：MULTIDISCIPLINARY SCIENCES	SCIE	Q1	17 / 135	87.78%

Scientific Data歷年數(shù)據(jù)統(tǒng)計

影響因子

中科院分區(qū)

Scientific Data中國學者發(fā)文選摘

1、A dataset of global ocean alkaline phosphatase activity
Author: Su, Bei; Song, Xianrui; Duhamel, Solange; Mahaffey, Claire; Davis, Clare; Ivancic, Ingrid; Liu, Jihua

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-023-02081-7
2、A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data
Author: Ocana-Tienda, Beatriz; Perez-Beteta, Julian; Villanueva-Garcia, Jose D.; Romero-Rosales, Jose A.; Molina-Garcia, David; Suter, Yannick; Asenjo, Beatriz; Albillo, David; Ortiz de Mendivil, Ana; Perez-Romasanta, Luis A.; Gonzalez-Del Portillo, Elisabet; Llorente, Manuel; Carballo, Natalia; Nagib-Raya, Fatima; Vidal-Denis, Maria; Luque, Belen; Reyes, Mauricio; Arana, Estanislao; Perez-Garcia, Victor M.

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-023-02123-0
3、A new kinematic dataset of lower limbs action for balance testing
Author: Dong, Anqi; Wang, Fei; Shuai, ZhenYu; Zhang, Kaiyu; Qian, Dexing; Tian, Yinsheng

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-023-02105-2
4、The chromosome-level genome of Cherax quadricarinatus
Author: Chen, Honglin; Zhang, Rui; Liu, Feng; Shao, Changwei; Liu, Fangfang; Li, Weidong; Ren, Jindong; Niu, Baolong; Liu, Haipeng; Lou, Bao

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-023-02124-z
5、European multi regional input output data for 2008-2018
Author: Huang, Siyu; Koutroumpis, Pantelis

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-023-02117-y
6、Comprehensive assessment of the utilization of manure in China's croplands based on national farmer survey data
Author: Zhang, Qingsong; Chu, Yiyan; Yin, Yulong; Ying, Hao; Zhang, Fusuo; Cui, Zhenling

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-023-02154-7
7、Observation based climatology Martian atmospheric waves perturbation Datasets
Author: Zhang, Jie; Ji, Qianqian; Sheng, Zheng; He, Mingyuan; He, Yang; Zuo, Xinjie; He, Zefeng; Qin, Zilin; Wu, Gangyao

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-022-01909-y
8、Single-nucleus profiling of adult mice sub-ventricular zone after blast-related traumatic brain injury
Author: Li, Manrui; Chen, Xiameng; Yang, Qiuyun; Cao, Shuqiang; Wyler, Steven; Yuan, Ruixuan; Zhang, Lingxuan; Liao, Miao; Lv, Meili; Wang, Feng; Guo, Yadong; Zhou, Jihong; Zhang, Lin; Xie, Xiaoqi; Liang, Weibo

Journal: SCIENTIFIC DATA. 2023; Vol. 10, Issue 1, pp. -. DOI: 10.1038/s41597-022-01925-y