雜志介紹

Data In Brief雜志介紹

《Data In Brief》是一本以English為主的開放獲取國際優(yōu)秀期刊，中文名稱數(shù)據(jù)簡介，本刊主要出版、報道領(lǐng)域的研究動態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為1，最新CiteScore 指數(shù)為3.1。

本刊近期中國學(xué)者發(fā)表的論文主要有：

• Numerical data on fire in the cavity of naturally ventilated double skin fa?ade with Venetian blinds

  Author: Huang, Youxian; Yeboah, Siegfried; Shao, Jingjing

• Dataset for the new insights into methane hydrate inhibition with blends of vinyl lactam polymer and methanol, monoethylene glycol, or diethylene glycol as hybrid inhibitors

  Author: Semenov, Anton P.; Gong, Yinghua; Medvedev, Vladimir I.; Stoporev, Andrey S.; Istomin, Vladimir A.; Vinokurov, Vladimir A.; Li, Tianduo

• A human mobility dataset collected via LBSLab

  Author: Zhang, Yuwei; Gong, Qingyuan; Chen, Yang; Xiao, Yu; Wang, Xin; Hui, Pan; Fu, Xiaoming

• A dataset of dynamical social map in ancient China: 618 -1644

  Author: Jiang, Xiong-Fei; Bai, Ling; Zhao, Na; Xiong, Long

英文介紹

Data In Brief雜志英文介紹

Data In Brief mainly focuses on the research of scientific data. This journal aims to promote the sharing and reuse of scientific data through high-quality research papers, thereby advancing the development of scientific research. The publishing philosophy of the magazine is "data-driven science", which believes that scientific data is the foundation of scientific research, and only by sharing and reusing data can the maximum value of scientific research be achieved. Therefore, the journal encourages scientists to publish their research data in a structured form so that other researchers can easily access and use this data. The content of the magazine covers multiple disciplines such as biology, medicine, environmental science, physics, chemistry, engineering technology, etc. It publishes articles on topics such as data sharing, data management, and data standardization to promote the research and application of scientific data.