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VERSION:2.0
PRODID:www.eu-parc.eu
BEGIN:VEVENT
UID:69f3b14c14b56
DTSTART;VALUE=DATE:20260127
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260128
SUMMARY:Mastering Research Data Management for Human Data: Safeguarding Sen
 sitive Information and Elevating Data Security 2026
CLASS:PUBLIC
DESCRIPTION:The Mastering Research Data Management for Human Data: Safeguar
 ding Sensitive Information and Elevating Data Security 2026 training cours
 e will be held online on 27 and 28 January 2026\, from 10:00 to 13:00 CET.
  Organised by de.NBI (German Network for Bioinformatics Infrastructure) an
 d ELIXIR-DE (German Node of the European Life Science Infrastructure for B
 iological Information)\, in collaboration with GHGA (German Human Genome-P
 henome Archive)\, this interactive course offers practical guidance on man
 aging human research data securely\, ethically\, and in compliance with th
 e General Data Protection Regulation (GDPR). Participants will engage in e
 xpert-led presentations covering key Research Data Management (RDM) topics
  such as legal and ethical responsibilities\, data subject rights\, inform
 ed consent\, secure data sharing\, and best practices for data collection 
 and storage. Real-world case studies and tools like RDMkit\, DSW\, and GHG
 A Consent Modules will support applied learning.Target audienceThis course
  is ideal for researchers and professionals handling human data who want t
 o enhance their knowledge and skills in responsible data management. No pr
 ior experience is required.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"1024\">The <em>Mastering Research Data Management for Human Da
 ta: Safeguarding Sensitive Information and Elevating Data Security 2026</e
 m> training course will be held online on 27 and 28 January 2026\, from 10
 :00 to 13:00 CET. Organised by de.NBI (German Network for Bioinformatics I
 nfrastructure) and ELIXIR-DE (German Node of the European Life Science Inf
 rastructure for Biological Information)\, in collaboration with GHGA (Germ
 an Human Genome-Phenome Archive)\, this interactive course offers practica
 l guidance on managing human research data securely\, ethically\, and in c
 ompliance with the General Data Protection Regulation (GDPR). Participants
  will engage in expert-led presentations covering key Research Data Manage
 ment (RDM) topics such as legal and ethical responsibilities\, data subjec
 t rights\, informed consent\, secure data sharing\, and best practices for
  data collection and storage. Real-world case studies and tools like RDMki
 t\, DSW\, and GHGA Consent Modules will support applied learning.</p><p da
 ta-start=\"1026\" data-end=\"1238\" data-is-last-node data-is-only-node><s
 trong>Target audience</strong><br>This course is ideal for researchers and
  professionals handling human data who want to enhance their knowledge and
  skills in responsible data management. No prior experience is required.</
 p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194516Z
END:VEVENT
BEGIN:VEVENT
UID:69f3b14c14b8a
DTSTART;VALUE=DATE:20260128
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260129
SUMMARY:Mastering Research Data Management for Human Data: Safeguarding Sen
 sitive Information and Elevating Data Security 2026
CLASS:PUBLIC
DESCRIPTION:The Mastering Research Data Management for Human Data: Safeguar
 ding Sensitive Information and Elevating Data Security 2026 training cours
 e will be held online on 27 and 28 January 2026\, from 10:00 to 13:00 CET.
  Organised by de.NBI (German Network for Bioinformatics Infrastructure) an
 d ELIXIR-DE (German Node of the European Life Science Infrastructure for B
 iological Information)\, in collaboration with GHGA (German Human Genome-P
 henome Archive)\, this interactive course offers practical guidance on man
 aging human research data securely\, ethically\, and in compliance with th
 e General Data Protection Regulation (GDPR). Participants will engage in e
 xpert-led presentations covering key Research Data Management (RDM) topics
  such as legal and ethical responsibilities\, data subject rights\, inform
 ed consent\, secure data sharing\, and best practices for data collection 
 and storage. Real-world case studies and tools like RDMkit\, DSW\, and GHG
 A Consent Modules will support applied learning.Target audienceThis course
  is ideal for researchers and professionals handling human data who want t
 o enhance their knowledge and skills in responsible data management. No pr
 ior experience is required.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"1024\">The <em>Mastering Research Data Management for Human Da
 ta: Safeguarding Sensitive Information and Elevating Data Security 2026</e
 m> training course will be held online on 27 and 28 January 2026\, from 10
 :00 to 13:00 CET. Organised by de.NBI (German Network for Bioinformatics I
 nfrastructure) and ELIXIR-DE (German Node of the European Life Science Inf
 rastructure for Biological Information)\, in collaboration with GHGA (Germ
 an Human Genome-Phenome Archive)\, this interactive course offers practica
 l guidance on managing human research data securely\, ethically\, and in c
 ompliance with the General Data Protection Regulation (GDPR). Participants
  will engage in expert-led presentations covering key Research Data Manage
 ment (RDM) topics such as legal and ethical responsibilities\, data subjec
 t rights\, informed consent\, secure data sharing\, and best practices for
  data collection and storage. Real-world case studies and tools like RDMki
 t\, DSW\, and GHGA Consent Modules will support applied learning.</p><p da
 ta-start=\"1026\" data-end=\"1238\" data-is-last-node data-is-only-node><s
 trong>Target audience</strong><br>This course is ideal for researchers and
  professionals handling human data who want to enhance their knowledge and
  skills in responsible data management. No prior experience is required.</
 p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194516Z
END:VEVENT
END:VCALENDAR