| 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 (alt) · Bluebook (alt) NLM (alt) · MathSciNet (alt  ) | |
| ISO 4 | Harv. Data Sci. Rev. |
| Indexing CODEN (alt · alt2) · JSTOR (alt) · LCCN (alt) MIAR · NLM (alt) · Scopus · W&L | |
| ISSN | 2688-8513 (print) 2644-2353 (web) |
| OCLC no. | 1104328966 |
| Links | |
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
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
References
References
- "Multimedia data science platform launches". Harvard Gazette. 3 July 2019. Retrieved 2 January 2026.
- "MIT Press and Harvard Data Science Initiative launch the Harvard Data Science Review". MIT News | Massachusetts Institute of Technology. 15 July 2019. Retrieved 2 January 2026.
- Siliezar, Juan (5 April 2021). "Harvard Data Science Review wins PROSE award for best new journal in Science". Harvard Gazette. Retrieved 2 January 2026.
- "Harvard Data Science Review". 2024 Journal Citation Reports (Emerging Sources ed.). Clarivate. 2025 – via Web of Science.