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X-ORIGINAL-URL:https://casdar.ac.uk
X-WR-CALDESC:Events for CaSDaR
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TZID:UTC
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DTSTART:20260101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260211T143000
DTEND;TZID=UTC:20260211T170000
DTSTAMP:20260508T203415
CREATED:20260204T104809Z
LAST-MODIFIED:20260204T104809Z
UID:1279-1770820200-1770829200@casdar.ac.uk
SUMMARY:Love Research Data 2026
DESCRIPTION:Join us in the Sheldonian Theatre on Wednesday 11 February 2026 and find your perfect match when it comes to storing and sharing your research data. Registration Link: https://bit.ly/LoveData26 \nTo coincide with the annual International Love Data Week\, Research Data Management (RDM) support colleagues and services from the University of Oxford will be on hand for anyone wanting to learn more about how the University provides love and care for its valuable data collections. We will also be welcoming special guests to this year’s event\, and we will be joined by members of both the Trusted Research Environments Software Stewardship (TRESS) research project and the Careers and Skills for Data-driven Research (CaSDaR) network. \nThis event will provide a valuable opportunity for Academic Researchers\, Students\, IT and Research Support teams\, and any other interested parties\, to be introduced to colleagues from the Bodleian Libraries\, IT Services and Academic Division and beyond who are responsible for delivering the various Research Data Management services and platforms used at Oxford and support good practice in the UK sector more widely. \nThe following services\, teams and colleagues will be holding exhibitors stalls at the event: \n\nAI Competency Centre \nCareers and Skills for Data-driven Research (CaSDaR) Network+\nCloud and Storage Services Team (public cloud\, private cloud\, storage)\nDigital Scholarship @ Oxford (DiSc)\nFAIRsharing\nLabArchives & Electronic Lab Notebook service\nOxford Research Archive (ORA) & Open Scholarship Support \nResearch Data Oxford\nResearch Support Services Team (including DMP Online\, Research File Service\, DigiSafe\, GitHub Enterprise)\nSustainable Digital Scholarship (SDS) service & the Centre for Digital Scholarship (CDS)\nTrusted Research Environments Oxford & TRESS: Trusted Research Environments Software Stewardship \n\nDoors will open at 2pm\, where you will be greeted by a selection of exhibitors who are looking forward to speaking to you. From 3pm a selection of short relevant presentations will be offered\, with topics to including the following; an overview of Research Data Management support at Oxford\, an introduction to Trusted Research Environments and the TRESS – Trusted Research Environments Software Stewardship research project and a presentation from members of the Careers and Skills for Data-driven Research (CaSDaR) network \nFor more information about research data management at Oxford\, please visit the Research Data Oxford website.
URL:https://casdar.ac.uk/event/love-research-data-2026/
LOCATION:The Sheldonian Theatre\,\, Broad Street\, Oxford\, OX1 3AZ\, United Kingdom
CATEGORIES:Community Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260225T124500
DTEND;TZID=UTC:20260225T143000
DTSTAMP:20260508T203415
CREATED:20260216T094624Z
LAST-MODIFIED:20260216T094624Z
UID:1312-1772023500-1772029800@casdar.ac.uk
SUMMARY:FIDELIS Data Reuse Workshop #3
DESCRIPTION:This workshop is part of a set of stand-alone but interrelated workshops run by FIDELIS to explore different aspects of data reusability. Register here. \nIn this third training workshop\, we consider some technical aspects around data reusability. We take a particular focus on several important elements of data management that are crucial for data reuse: metadata\, data documentation\, and data citation. The event presents the perspectives of specialists who are developing tools to encourage the creation of rich and complete metadata\, supporting data documentation\, and tracking data impact through citation practices.
URL:https://casdar.ac.uk/event/fidelis-data-reuse-workshop-3/
LOCATION:Online
CATEGORIES:Community Events
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260226T100000
DTEND;TZID=UTC:20260226T110000
DTSTAMP:20260508T203415
CREATED:20260128T125717Z
LAST-MODIFIED:20260204T105606Z
UID:1247-1772100000-1772103600@casdar.ac.uk
SUMMARY:Trusted Research for Repository/Data Managers
DESCRIPTION:Trusted Research supports the integrity of the system of international research collaboration\, which is vital to the continued success of the UK’s research and innovation sector.\n\n\n\nInternational research is vulnerable to misuse by organisations\, institutions and individuals who operate on behalf of nations that seek to undermine the prevailing system of international research collaboration. Trusted Research seeks to protect that system from being undermined by those who might seek to abuse the principles of open science and academic freedom for their own gain. \nTrusted Research is a joint National Protective Security Authority NPSA and National Cyber Security Centre NCSC campaign\, developed with academic institutions and endorsed by key bodies within the sector. It helps the UK’s world-leading academic sector continue to get the most out of international scientific collaboration whilst protecting intellectual property\, sensitive research and personal information from potential theft\, misuse\, or exploitation. It is run collaboratively with the sector and supports self-regulation and sector identification and ownership of risk. \nAll attendees must sign up with an institutional email address – any sign-ups via personal emails will be cancelled. \nPlease note: \n\nNo recording\, screenshots\, transcription\, AI assistants etc throughout the webinar.\nAll attendees should be physically located in the UK at the time of the webinar.\nNPSA/NCSC cameras will be off for the duration of the webinar.\nNo material presented will be shared with attendees post webinar\, but please see the NPSA and NCSC websites for information and resources.
URL:https://casdar.ac.uk/event/trusted-research-for-repository-data-managers/
CATEGORIES:Knowledge Exchange
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