# Peer Reviews for Data Science

DevFeed: [Peer Reviews for Data Science](<https://devfeed.tech/articles/peer-reviews-for-data-science-15804.md>)

Original publisher: [Read original article](<https://developer.squareup.com/blog/peer-reviews-for-data-science>)

Author: Peter Weir

Published: 2024-01-17T06:00:00Z

Content type: article

Language: en

Sources: [Square Corner Blog RSS Feed](<https://devfeed.tech/sources/square-corner-blog-rss-feed.md>)

Topics: [Data Science](<https://devfeed.tech/topics/data-science.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>)

Tags: [code-reviews](<https://devfeed.tech/tags/code-reviews.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [errors](<https://devfeed.tech/tags/errors.md>), [process](<https://devfeed.tech/tags/process.md>), [quality](<https://devfeed.tech/tags/quality.md>), [research](<https://devfeed.tech/tags/research.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [team](<https://devfeed.tech/tags/team.md>)

## AI overview

This article explains how peer reviews can improve data science by catching analytical errors, broadening perspectives, sharing knowledge, and strengthening collaboration. It describes the practice as combining ideas from software engineering code reviews and scientific peer review.

## Source excerpt

If it's worth doing, it's worth reviewing