中文简介
该杂志旨在促进和交流大数据研究的进展，为来自不同社区的研究人员、从业者和政策制定者提供一个快速和高质量的论坛，他们致力于研究和使用这个主题。该杂志将接受关于处理大数据基础方面的论文，以及关于处理大数据的特定平台和技术的论文。促进科学数据和跨学科的合作领域,并展示数据驱动的好处的研究,论文展示的大数据应用程序域等地球科学、社交网络、金融、电子商务、医疗保健、环境和气候、物理学和天文学、化学、生命科学和药物发现,数字图书馆和科学出版物,安全和政府也将被考虑。《华尔街日报》偶尔会发表有关政策、标准和最佳实践的白皮书。
英文简介
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.
近年期刊自引率趋势图
JCR分区
| JCR分区等级 | JCR所属学科 | 分区 | 影响因子 |
| Q2 | COMPUTER SCIENCE, INFORMATION SYSTEMS | Q2 | 3.739 |
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 | ||
| COMPUTER SCIENCE, THEORY & METHODS | Q2 |
近年期刊影响因子趋势图
CiteScore数值
| CiteScore | SJR | SNIP | 学科类别 | 分区 | 排名 | 百分位 |
| 5.40 | 0.994 | 1.899 | 大类：Business, Management and Accounting 小类：Management Information Systems | Q1 | 25 / 120 |
79% |
| 大类：Business, Management and Accounting 小类：Information Systems and Management | Q1 | 32 / 132 |
76% |
|||
| 大类：Business, Management and Accounting 小类：Information Systems | Q2 | 91 / 353 |
74% |
|||
| 大类：Business, Management and Accounting 小类：Computer Science Applications | Q2 | 192 / 747 |
74% |
