Journal Title：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.

《科學(xué)數(shù)據(jù)》是一本同行評審的開放獲取期刊，用于描述具有科學(xué)價值的數(shù)據(jù)集，以及促進(jìn)科學(xué)數(shù)據(jù)共享和重用的研究。我們的目標(biāo)是促進(jìn)更廣泛的數(shù)據(jù)共享和重用，并贊揚那些分享數(shù)據(jù)的人。

《科學(xué)數(shù)據(jù)》主要出版《數(shù)據(jù)描述符》，這是一種新型出版物，提供研究數(shù)據(jù)集的詳細(xì)描述，包括用于收集數(shù)據(jù)的方法和支持測量質(zhì)量的技術(shù)分析。數(shù)據(jù)描述符專注于幫助其他人重用數(shù)據(jù)，而不是測試假設(shè)，或提出新的解釋、方法或深入分析。

《科學(xué)數(shù)據(jù)》還歡迎描述現(xiàn)有數(shù)據(jù)的分析或薈萃分析的投稿，以及關(guān)于促進(jìn)數(shù)據(jù)共享和重用以支持可重復(fù)研究的系統(tǒng)、技術(shù)和技巧的原創(chuàng)文章。

《科學(xué)數(shù)據(jù)》提供了一個精簡但全面的??同行評審流程，用于評估用于生成數(shù)據(jù)的實驗的嚴(yán)謹(jǐn)性和質(zhì)量以及對數(shù)據(jù)的描述的完整性。實際數(shù)據(jù)存儲在一個或多個公共的、社區(qū)認(rèn)可的存儲庫中，并且數(shù)據(jù)的發(fā)布經(jīng)過驗證，這是發(fā)布的條件。

科學(xué)數(shù)據(jù)向來自廣泛自然科學(xué)學(xué)科的提交開放，包括但不限于來自生命、生物醫(yī)學(xué)和環(huán)境科學(xué)界的數(shù)據(jù)。提交的內(nèi)容可以描述大數(shù)據(jù)或小數(shù)據(jù)，來自新實驗或現(xiàn)有數(shù)據(jù)的增值聚合，來自主要聯(lián)盟和單個實驗室。我們也愿意考慮來自社會科學(xué)的定量數(shù)據(jù)集的描述，特別是那些可能用于跨越生命、生物醫(yī)學(xué)、環(huán)境和社會科學(xué)之間傳統(tǒng)學(xué)科界限的綜合分析的數(shù)據(jù)集。

Scientific Data創(chuàng)刊于2014年，由Springer Nature出版商出版，收稿方向涵蓋Social Sciences - Education全領(lǐng)域，此刊是該細(xì)分領(lǐng)域中屬于非常不錯的SCI期刊，在行業(yè)細(xì)分領(lǐng)域中學(xué)術(shù)影響力較大，專業(yè)度認(rèn)可很高，所以對原創(chuàng)文章要求創(chuàng)新性較高，如果您的文章質(zhì)量很高，可以嘗試。平均審稿速度 16 Weeks ，影響因子指數(shù)5.8，該期刊近期沒有被列入國際期刊預(yù)警名單，廣大學(xué)者值得一試。