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. Read our key principles ?Scientific Data welcomes submissions from a broad range of research disciplines, including descriptions of big or small datasets, from major consortiums to single research groups. Scientific Data primarily publishes Data Descriptors, a new type of publication that focuses on helping others reuse data, and crediting those who share. Read our aims & scope ?All content is hosted on nature.com – the destination of millions of scientists globally every month. Publications are indexed in PubMed, MEDLINE, Google Scholar and Clarivate's Web of Science, and are automatically deposited into PubMed Central.

《科學(xué)數(shù)據(jù)》是一本經(jīng)過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。閱讀我們的主要原則科學(xué)數(shù)據(jù)歡迎來自廣泛的研究學(xué)科的提交，包括對大型或小型數(shù)據(jù)集的描述，從大型聯(lián)盟到單個研究小組。科學(xué)數(shù)據(jù)主要發(fā)布數(shù)據(jù)描述符，這是一種新型的出版物，專注于幫助他人重用數(shù)據(jù)，并信任那些共享數(shù)據(jù)的人。閱讀我們的目標(biāo)和范圍所有的內(nèi)容都托管在nature.com上——全球每月有數(shù)百萬科學(xué)家的目的地。出版物在PubMed、MEDLINE、谷歌Scholar和Clarivate's Web of Science中建立索引，并自動保存到PubMed Central。