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DTSTAMP:20260616T042036Z
UID:dc4f1529-aa52-4211-bdb6-a7b5a9d03868
DTSTART:20210415T090000Z
DTEND:20210415T170000Z
DESCRIPTION:The FAIR principles – standing for Findability\, Accessibilit
 y\, Interoperability\, and Reusability – have become the guiding princip
 les for the wider sharing of research data in the life sciences. While FAI
 R provides guidance for the management of data as well as tools and workfl
 ows\, the institutional conditions and organizational challenges associate
 d with data sharing need to be taken into account to ensure responsible an
 d fair data practices. This requires considering the context of legal requ
 irements\, for instance the principle of fairness and transparency in GDPR
 \, expectations of research participants/data subjects\, societal aspects 
 and the “ethics work” that is an integral part of data flows\, as well
  as fairness\, equity and benefit sharing within transnational collaborati
 ons\, which is of utmost importance. This webinar will\, from the perspect
 ive of ethical\, legal and societal implications (ELSI)\, discuss this bro
 ader context of responsible and fair data sharing associated with FAIR.\n\
 nThe “How FAIR are you” webinar series and hackathon aim at increasing
  and facilitating the uptake of FAIR approaches into software\, training m
 aterials and cohort data\, to facilitate responsible and ethical data and 
 resource sharing and implementation of federated applications for data ana
 lysis.
LOCATION:\, 
SUMMARY:Ethics/ELSI considerations - From FAIR to fair data sharing
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/ethicselsi-consideratio
 ns-fair-fair-data-sharing
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