BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Sabre//Sabre VObject 4.5.8//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Zurich
X-LIC-LOCATION:Europe/Zurich
TZURL:http://tzurl.org/zoneinfo/Europe/Zurich
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19810329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19961027T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:news235@researchdata.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260601T140328
DTSTART;TZID=Europe/Zurich:20261020T091500
SUMMARY:Research Data Management in Medical and Health Sciences Day II
DESCRIPTION:Proper research data management (RDM) is becoming an important 
 prerequisite for the successful approval and execution of research project
 s.\\r\\nThis two-day course [https://researchdata.unibas.ch/en/event/detai
 ls/rdm-gsmhs-hs26-day-i/] will provide you with the essential knowledge an
 d skills to enhance the management of the research data in your PhD projec
 t\, with a specific focus on storing and organizing your research data.\\r
 \\nDay II – Deep Dive Data Storage and Data OrganizationOn the second co
 urse day\, you will get an in-depth training on data storage and data orga
 nization. In exercises on workflows and tools\, you will gain experience t
 o improve the organization of research data in your PhD project. Further\,
  you will have the opportunity to discuss your RDM challenges with RDM ser
 vice providers and data stewards of the University of Basel.\\r\\nLearning
  objectives\\r\\nYou know and understand basic principles\, methods and to
 ols for RDM in the health sciences.You are able to apply the gained knowle
 dge to plan your RDM and to store\, organize\, document and publish your o
 wn research data.You are able to critically assess your own RDM and you ar
 e familiar with the most important RDM service providers at the University
  of Basel.You are able to discuss RDM-related topics in a scientific conte
 xt with other researchers.\\r\\nTrainers: Members of the Research Data Man
 agement Network\\r\\nCredits: 1 ETCS\\r\\nWorkload: Total of 30 hours\, of
  which 15h course attendance\\r\\nParticipants: min. 6\, max. 17\\r\\nMore
  information and registration: TBA\\r\\nThis course is offered by the Grad
 uate School Medical & Health Sciences (GSMHS) [https://gsmhs.unibas.ch] an
 d organized in cooperation with the Research Data Management Network.
X-ALT-DESC:<p>Proper research data management (RDM) is becoming an importan
 t prerequisite for the successful approval and execution of research proje
 cts.</p>\n<p>This <a href="https://researchdata.unibas.ch/en/event/details
 /rdm-gsmhs-hs26-day-i/" title="Research Data Management in Medical and Hea
 lth Sciences Day I">two-day course</a> will provide you with the essential
  knowledge and skills to enhance the management of the research data in yo
 ur PhD project\, with a specific focus on storing and organizing your rese
 arch data.</p>\n<p><strong>Day II – Deep Dive Data Storage and Data Orga
 nization</strong><br />On the second course day\, you will get an in-depth
  training on data storage and data organization. In exercises on workflows
  and tools\, you will gain experience to improve the organization of resea
 rch data in your PhD project. Further\, you will have the opportunity to d
 iscuss your RDM challenges with RDM service providers and data stewards of
  the University of Basel.</p>\n<p><strong>Learning objectives</strong></p>
 \n<ul><li><span>You know and understand basic principles\, methods and too
 ls for RDM in the health sciences.</span></li><li><span>You are able to ap
 ply the gained knowledge to plan your RDM and to store\, organize\, docume
 nt and publish your own research data.</span></li><li><span>You are able t
 o critically assess your own RDM and you are familiar with the most import
 ant RDM service providers at the University of Basel.</span></li><li><span
 >You are able to discuss RDM-related topics in a scientific context with o
 ther researchers.</span></li></ul>\n<p><strong>Trainers</strong>: Members 
 of the Research Data Management Network</p>\n<p><strong>Credits</strong>: 
 1 ETCS</p>\n<p><strong>Workload</strong>: Total of 30 hours\, of which 15h
  course attendance</p>\n<p><strong>Participants</strong>: min. 6\, max. 17
 </p>\n<p><strong>More information and registration</strong>: TBA</p>\n<p>T
 his course is offered by the <a href="https://gsmhs.unibas.ch" title="Grad
 uate School Medical &amp\; Health Sciences">Graduate School Medical &amp\;
  Health Sciences (GSMHS)</a> and organized in cooperation with the Researc
 h Data Management Network.</p>
DTEND;TZID=Europe/Zurich:20261020T171500
END:VEVENT
END:VCALENDAR