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BEGIN:VEVENT
UID:news234@researchdata.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260728T121936
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: https://gsmhs.unibas.ch/en/courses/r
 esearch-data-management/ [https://gsmhs.unibas.ch/en/courses/research-data
 -management/]\\r\\nThis course is offered by the Graduate School Medical &
  Health Sciences (GSMHS) [https://gsmhs.unibas.ch] and organized in cooper
 ation 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-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>: <a hr
 ef="https://gsmhs.unibas.ch/en/courses/research-data-management/">https://
 gsmhs.unibas.ch/en/courses/research-data-management/</a></p>\n<p>This cour
 se is offered by the <a href="https://gsmhs.unibas.ch" title="Graduate Sch
 ool Medical &amp\; Health Sciences">Graduate School Medical &amp\; Health 
 Sciences (GSMHS)</a> and organized in cooperation with the Research Data M
 anagement Network.</p>
DTEND;TZID=Europe/Zurich:20261013T171500
END:VEVENT
BEGIN:VEVENT
UID:news235@researchdata.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260728T121956
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: https://gsmhs.unibas.ch/en/courses/research
 -data-management/ [https://gsmhs.unibas.ch/en/courses/research-data-manage
 ment/]\\r\\nThis course is offered by the Graduate School Medical & Health
  Sciences (GSMHS) [https://gsmhs.unibas.ch] and organized in cooperation w
 ith 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>: <a href="http
 s://gsmhs.unibas.ch/en/courses/research-data-management/">https://gsmhs.un
 ibas.ch/en/courses/research-data-management/</a></p>\n<p>This course is of
 fered by the <a href="https://gsmhs.unibas.ch" title="Graduate School Medi
 cal &amp\; Health Sciences">Graduate School Medical &amp\; Health Sciences
  (GSMHS)</a> and organized in cooperation with the Research Data Managemen
 t Network.</p>
DTEND;TZID=Europe/Zurich:20261020T171500
END:VEVENT
END:VCALENDAR
