Scientific Data

Scientific Data英文簡介

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.

Scientific Data中文簡介

《Scientific Data》是一本由NATURE RESEARCH出版商出版的專業(yè)綜合性期刊期刊，該刊創(chuàng)刊于2014年，刊期1 issue/year，該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學(xué)科：綜合性期刊 2區(qū)，小類學(xué)科：綜合性期刊 2區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q1。該刊發(fā)文范圍涵蓋綜合性期刊等領(lǐng)域，旨在及時、準確、全面地報道國內(nèi)外綜合性期刊工作者在該領(lǐng)域取得的最新研究成果、工作進展及學(xué)術(shù)動態(tài)、技術(shù)革新等，促進學(xué)術(shù)交流，鼓勵學(xué)術(shù)創(chuàng)新。2021年影響因子為8.501，平均審稿速度16 Weeks。

中科院分區(qū)最新升級版（當(dāng)前數(shù)據(jù)版本：2021年12月最新升級版）

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

中科院分區(qū)最新基礎(chǔ)版（當(dāng)前數(shù)據(jù)版本：2021年12月最新基礎(chǔ)版）

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

中科院JCR分區(qū)歷年趨勢圖

JCR分區(qū)（當(dāng)前數(shù)據(jù)版本：2021-2022年最新版）

JCR分區(qū)等級	JCR所屬學(xué)科	分區(qū)	影響因子
Q1	MULTIDISCIPLINARY SCIENCES	Q1	8.501

期刊指數(shù)

影響因子	h-index	Gold OA文章占比	研究類文章占比	OA開放訪問	平均審稿速度
8.501	35	99.81%	100.00%	開放	16 Weeks

IF值(影響因子)趨勢圖