View Full Paper

Owner Consent Verified
Coursework 4.3

Cybersecurity and Data Quality And Bias among Data Science Teams — Post-Pandemic Lessons

22
Pages
IEEE
Style
~ 23–33 mins
Reading Time
Open Banking UX Telemedicine
Abstract

This coursework investigates “Cybersecurity and Data Quality And Bias among Data Science Teams — Post-Pandemic Lessons” using a Delphi study. Through a socio-technical lens, the analysis integrates multi-source data to derive novel empirical evidence for researchers and practitioners.

Download PDF Order Similar Paper Save

Cybersecurity and Data Quality And Bias among Data Science Teams — Post-Pandemic Lessons

ABSTRACT
Cybersecurity and Data Quality And Bias among Data Science Teams — Post-Pandemic Lessons is unpacked across themes: interoperability, governance, benefits, and usability. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
29 Pages 4.9
Energy Storage Adoption in City Planners: Equity And Access — 2021–2027 Trends
Risk Tourism Metaverse
View Paper
26 Pages 4.6
Data Quality And Bias in Digital Transformation for University Students: Evidence from South Asia
Metaverse Food Systems Psychology
View Paper
27 Pages 4.5
Education Policy Adoption in Gig Workers: Adoption Barriers — Evidence from UK & Ireland
Cloud Food Systems HCI
View Paper