BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CaSDaR - ECPv6.14.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://casdar.ac.uk
X-WR-CALDESC:Events for CaSDaR
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20260101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20260720T123000
DTEND;TZID=UTC:20260720T153000
DTSTAMP:20260619T053422
CREATED:20260604T170053Z
LAST-MODIFIED:20260604T170053Z
UID:1548-1784550600-1784561400@casdar.ac.uk
SUMMARY:CaSDaR Data Stewardship Training #3 - FAIR Data
DESCRIPTION:Overview\n\n\n \n\n\n\n\n\nJoin us for the third session in the CaSDaR Data Stewardship Training series\, dedicated to the FAIR principles. FAIR (Findable\, Accessible\, Interoperable\, and Reusable) has become the cornerstone of open science and responsible data stewardship. This session will take you from the foundational concepts behind FAIR all the way through to practical implementation\, giving you the tools and strategies to make research data and other research objects genuinely FAIR in your day-to-day work. \nThis training session will be run by Digital Curation Centre (DCC). \nWhat You’ll Learn\nBy the end of this session\, you will be able to: \n\nExplain the FAIR data principles and articulate their importance for research and open science\nApply practical FAIRification approaches to datasets and other research objects\nDevelop and evaluate metadata strategies that improve the discoverability and reusability of research outputs\n\nAgenda:\n\n12:30: Introduction to FAIR data and CARE principles\n13:30: Assessing FAIRness of research data objects with F-UJI\n14:30: Quality Assurance and FAIR Principles: Assessing and improving metadata quality for discoverability and reusability
URL:https://casdar.ac.uk/event/casdar-data-stewardship-training-3-fair-data/
LOCATION:Online
CATEGORIES:CaSDaR Events,Training Events
END:VEVENT
END:VCALENDAR