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Research Proposal 4.5

DevSecOps for Data Science Teams: Data Quality And Bias | A Comparative Perspective

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Harvard
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~ 24–35 mins
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Telemedicine UX MLOps
Abstract

This research proposal investigates “DevSecOps for Data Science Teams: Data Quality And Bias | A Comparative Perspective” using a systematic literature review. Through a socio-technical lens, the analysis integrates multi-source data to derive a practical decision framework for researchers and practitioners.

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DevSecOps for Data Science Teams: Data Quality And Bias | A Comparative Perspective

ABSTRACT
DevSecOps for Data Science Teams: Data Quality And Bias | A Comparative Perspective is unpacked across themes: ethics, benefits, KPIs, and risks. Limitations and future research paths are noted.
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