Data Science and Informetrics (ISSN: 2694-6114)

Description

Data Science and Informetrics (DSI) is an international journal dedicated to the latest advancement in data science and informetrics. It covers various aspects of data science and informetrics, such as the trends, scientific foundations, techniques, and applications of data science and informetrics. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of data science and informetrics.
All manuscripts must be prepared in English and are subject to a rigorous and fair peer-review process. Generally, accepted papers will appear online within 3 weeks followed by printed hard copy. The journal publishes original papers including but not limited to the following fields:
· Altmetrics
· Bibliometrics
· Big data research
· Data analytics and Knowledge discovery
· Data Intelligent processing
· Data science application
· Data visualization, retrieval and interoperability
· Ethics, security and risk on data science and big data
· Informetric problems using methods from other quantitative fields
· Intelligent services in different domains
· Knowledge discovery, machine learning and deep learning
· Scientometrics
· Theory and mathematical foundations for data science and informetrics
· Webometrics