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:news234@researchdata.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260601T140429
DTSTART;TZID=Europe/Zurich:20261013T091500
SUMMARY:Research Data Management in Medical and Health Sciences Day I
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-ii/] will provide you with the essential knowledge a
 nd skills to enhance the management of the research data in your PhD proje
 ct\, with a specific focus on storing and organizing your research data.\\
 r\\nDay I – Introduction to Research Data ManagementOn the first course 
 day\, RDM experts of the University of Basel will teach you about the basi
 c principles\, methods\, tools\, and legal aspects of RDM. In addition\, y
 ou will receive practical advice on data documentation and metadata\, data
  publication and reuse\, data protection\, and useful RDM services.\\r\\nL
 earning objectives\\r\\nYou know and understand basic principles\, methods
  and tools for RDM in the health sciences.You are able to apply the gained
  knowledge to plan your RDM and to store\, organize\, document and publish
  your own research data.You are able to critically assess your own RDM and
  you are familiar with the most important RDM service providers at the Uni
 versity of Basel.You are able to discuss RDM-related topics in a scientifi
 c context with other researchers.\\r\\nTrainers: Members of the Research D
 ata Management Network\\r\\nCredits: 1 ETCS\\r\\nWorkload: Total of 30 hou
 rs\, of which 15h course attendance\\r\\nParticipants: min. 6\, max. 17\\r
 \\nMore information and registration: TBA\\r\\nThis course is offered by t
 he Graduate School Medical & Health Sciences (GSMHS) [https://gsmhs.unibas
 .ch] and organized in cooperation with the Research Data Management Networ
 k.
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-ii/" title="Research Data Management in Medical and He
 alth Sciences Day II">two-day course</a> will provide you with the essenti
 al knowledge and skills to enhance the management of the research data in 
 your PhD project\, with a specific focus on storing and organizing your re
 search data.</p>\n<p><strong>Day I – Introduction to Research Data Manag
 ement</strong><br />On the first course day\, RDM experts of the Universit
 y of Basel will teach you about the basic principles\, methods\, tools\, a
 nd legal aspects of RDM. In addition\, you will receive practical advice o
 n data documentation and metadata\, data publication and reuse\, data prot
 ection\, and useful RDM services.</p>\n<p><strong>Learning objectives</str
 ong></p>\n<ul><li><span>You know and understand basic principles\, methods
  and tools for RDM in the health sciences.</span></li><li><span>You are ab
 le to apply the gained knowledge to plan your RDM and to store\, organize\
 , document and publish your own research data.</span></li><li><span>You ar
 e able to critically assess your own RDM and you are familiar with the mos
 t important RDM service providers at the University of Basel.</span></li><
 li><span>You are able to discuss RDM-related topics in a scientific contex
 t with other researchers.</span></li></ul>\n<p><strong>Trainers</strong>: 
 Members of the Research Data Management Network</p>\n<p><strong>Credits</s
 trong>: 1 ETCS</p>\n<p><strong>Workload</strong>: Total of 30 hours\, of w
 hich 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>This course is offered by the <a href="https://gsmhs.unibas.ch" tit
 le="Graduate School Medical &amp\; Health Sciences">Graduate School Medica
 l &amp\; Health Sciences (GSMHS)</a> and organized in cooperation with the
  Research Data Management Network.</p>
DTEND;TZID=Europe/Zurich:20261013T171500
END:VEVENT
END:VCALENDAR