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DTSTAMP:20260511T172753Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=13849\nWhen working with d
 ata, a key question that comes to mind is, “Is the data of the right 
 quality for my purpose?” Data scientists working on advanced use case
 s need confidence in the data they use. Information about data quality, dat
 a lineage, and the accountable person, e.g., data steward or data owner, ar
 e three sorts of information that help gain trust in a dataset. \nA Da
 ta Trust Score is a single number that represents a currency of trust durin
 g any data usage or exchange process. Data Trust Score can serve as a solut
 ion to the information asymmetry problem that exists in modern catalogs. Th
 e consumer and the producer of data do not have the level of information re
 lated to the usefulness of the data. Data Trust score can be computed 
 on certain data quality dimensions applied to individual columns in the dat
 a set. \nThis presentation has the following objectives:\n\n
 Outline the core concept of data trust score\n
 Present a framework to calculate data trust score\n
 Share case studies on how organizations are using the data trust score in t
 heir information exchange process \n\n \n
DTSTART:20221205T120000
SUMMARY:Autonomous Data Trust Score for Data Catalogs
DTEND:20221205T122959
LOCATION: See Description
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