Qualitative Sensibilities for Data Science Research Pipeline

Name: Qualitative Sensibilities for Data Science Research Pipeline
Creator: Fors Marsh; University of New Mexico
Published: 2024-01-01T00:00:00+08:00

Harvard Dataverse2024-08-06 更新2026-04-09 收录

定性数据科学方法论

混合方法研究流程

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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/JYNFGJ 数据链接链接失效反馈

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资源简介：

This document outlines a pipeline for incorporating qualitative sensibilities into a data science research. For more information about qualitative thinking for data science, see: Anissa Tanweer, Emily Kalah Gade, P.M. Krafft, and Sarah Dreier. 2021. "Why the Data Revolution Needs Qualitative Thinking. Harvard Data Science Review (https://doi.org/10.1162/99608f92.eee0b0da).

提供机构：

Fors Marsh; University of New Mexico

创建时间：

2024-01-01

Qualitative Sensibilities for Data Science Research Pipeline

资源简介：

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