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UID:pretalx-pyconde-pydata-berlin-2023-J9KRKZ@pretalx.com
DTSTART;TZID=CET:20230419T105000
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DESCRIPTION:Many good project ideas fail before they even start due to the 
 sensitive personal data required. The good news: a synthetic version of th
 is data does not need protection. Synthetic data copies the actual data's 
 structure and statistical properties without recreating personally identif
 iable information. The bad news: It is difficult to create synthetic data 
 for open-access use\, without recreating the exact copy of actual data.\nT
 his talk will give hands-on insights into synthetic data creation and chal
 lenges along its lifecycle. We will learn how to create and evaluate synth
 etic data for any use case using the open-source package Synthetic Data Va
 ult. We will find answers to why it takes so long to synthesize the huge a
 mount of data dormant in public administration. The talk addresses owners 
 who want to create access to their private data as well as analysts lookin
 g to use synthetic data. After this session\, listeners will know which st
 eps to take to generate synthetic data for multi-purpose use and its limit
 ations for real-world analyses.
DTSTAMP:20260307T214454Z
LOCATION:Kuppelsaal
SUMMARY:Unlocking Information - Creating Synthetic Data for Open Access. - 
 Antonia Scherz
URL:https://pretalx.com/pyconde-pydata-berlin-2023/talk/J9KRKZ/
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