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DTSTAMP:20260720T092732Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022west.data
 versity.net/sessionPop.cfm?confid=148&proposalid=13769\n90% or more of orga
 nizational data challenges are people and process – importantly not t
 echnology-related. Strengthening our focus on non-technology aspects o
 f data governance will be seen as crucial. An increasingly important a
 spect of data governance concerns data ethics. While not a case study,
  we will present three "incidents" describing how they were 
 discovered, their handling, and lessons learned from each that led to speci
 fic operational changes/improvements. Each is detailed through the com
 plete lifecycle. Our presentation focuses on people and process issues
  encountered with each incident. We believe these three illustrate asp
 ects that are rarely documented much less presented. Offered as exampl
 es of a good resolution process, we will show how:\n\n
 Data ethics are not confined to any specific industry\n
 Data governance processes must have clear objectives and roles\n
 Not solving ethics issues will cause only more challenges\n\n
DTSTART:20220607T164500
SUMMARY:Exercises in Data Ethics: A Key Portion of Data Governance
DTEND:20220607T172959
LOCATION: See Description
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