Scientific Data

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》是一本由Springer Nature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(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄。在中科院最新升級(jí)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(jí)為Q1。該刊發(fā)文范圍涵蓋MULTIDISCIPLINARY SCIENCES等領(lǐng)域，旨在及時(shí)、準(zhǔn)確、全面地報(bào)道國(guó)內(nèi)外MULTIDISCIPLINARY SCIENCES工作者在該領(lǐng)域取得的最新研究成果、工作進(jìn)展及學(xué)術(shù)動(dòng)態(tài)、技術(shù)革新等，促進(jìn)學(xué)術(shù)交流，鼓勵(lì)學(xué)術(shù)創(chuàng)新。2023年影響因子為5.8，平均審稿速度 16 Weeks 。