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DTSTAMP:20211207T055352Z
LOCATION:263
DTSTART;TZID=America/Chicago:20211114T130000
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UID:submissions.supercomputing.org_SC21_sess213_tut154@linklings.com
SUMMARY:Enabling Secure Data Discoverability
DESCRIPTION:Tutorial\n\nEnabling Secure Data Discoverability\n\nVasiliadis
 , Raumann, Ananthakrishnan\n\nMajor research instruments are generating or
 ders of magnitude more data in relatively short timeframes.  As a result, 
 the research enterprise is increasingly challenged by what should be munda
 ne tasks: describing data for discovery and making data securely accessibl
 e to the broader research community.  The ad hoc methods currently employe
 d place undue burden on scientists and system administrators alike, and it
  is clear that a more robust, scalable approach is required.\n\nBespoke da
 ta portals (and science gateways/data commons) are becoming more prominent
  as a means of enabling access to large datasets.  We will demonstrate how
  services for authentication, authorization, metadata management, and sear
 ch may be integrated with popular web frameworks, and used in combination 
 with fast, well-architected networks to make data discoverable and accessi
 ble.  Attendees will experiment with building a simple, but functional, da
 ta portal that facilitates flexible data description, faceted data search 
 and secure data access.\n\nTag: In-Person Only, Data Management, Security\
 n\nRegistration Category: Tutorial Reg Pass
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