Harvard Data Science Review
Peer-reviewed scientific journal
From Wikipedia, the free encyclopedia
The Harvard Data Science Review is a quarterly peer-reviewed open-access scientific journal about data science. It was established in 2019 by the Harvard Data Science Initiative.[1] The journal is published by MIT Press and the founding and current editor-in-chief is Xiao-Li Meng.[2]
| Discipline | Data science |
|---|---|
| Language | English |
| Edited by | Xiao-Li Meng |
| Publication details | |
| History | Since 2019 |
| Publisher | |
| Frequency | Quarterly |
| Yes | |
| License | CC-BY 4.0 |
| 2.5 (2024) | |
| Standard abbreviations | |
| ISO 4 | Harv. Data Sci. Rev. |
| Indexing | |
| ISSN | 2688-8513 (print) 2644-2353 (web) |
| OCLC no. | 1104328966 |
| Links | |
Reception
The journal won the 2021 Professional and Scholarly Excellence Award for best new journal in science, technology, and medicine from the Association of American Publishers.[3] According to the Journal Citation Reports, the journal has a 2024 impact factor of 2.5.[4]