Harvard Data Science Review

Harvard Data Science Review

Discipline	Data science
Language	English
Edited by	Xiao-Li Meng
Publication details
History	Since 2019
Publisher	MIT Press
Frequency	Quarterly
Open access	Yes
License	CC-BY 4.0
Impact factor	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
Journal homepage

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

1. "Multimedia data science platform launches". Harvard Gazette. 3 July 2019. Retrieved 2 January 2026.
2. "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.
3. Siliezar, Juan (5 April 2021). "Harvard Data Science Review wins PROSE award for best new journal in Science". Harvard Gazette. Retrieved 2 January 2026.
4. "Harvard Data Science Review". 2024 Journal Citation Reports (Emerging Sources ed.). Clarivate. 2025 – via Web of Science.

External links

• Official website