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PRODID:www.eu-parc.eu
BEGIN:VEVENT
UID:69f3b0d55909b
DTSTART;VALUE=DATE:20260317
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260318
SUMMARY:Introduction to Data Management Practices
CLASS:PUBLIC
DESCRIPTION:The Introduction to Data Management Practices course\, organise
 d by the National Bioinformatics Infrastructure Sweden (NBIS)\, will be he
 ld from 17 to 19 March 2026\, in Uppsala\, Sweden\, &nbsp\;with an optiona
 l pre-course Q&amp\;A session held online on 10 March 2026. This three-day
  course is designed to help researchers in the life sciences take their fi
 rst steps towards a more structured\, systematic\, and reproducible approa
 ch to managing research data. Through a combination of lectures and hands-
 on computer exercises\, participants will explore key data management conc
 epts such as the principles of Open Science and FAIR\, metadata standards\
 , data publication\, version control using Git and GitHub\, and writing ef
 fective data management plans.&nbsp\;Target audienceThis course is designe
 d for PhD students\, postdoctoral researchers\, and staff members at Swedi
 sh universities who aim to develop foundational skills in research data ma
 nagement. Applications are also welcome from international or non-academic
  participants\, although space is limited to 25 participants\, with select
 ion based on eligibility\, motivation\, and diversity considerations. No p
 rogramming experience is required.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"846\">The <em>Introduction to Data Management Practices</em> c
 ourse\, organised by the National Bioinformatics Infrastructure Sweden (NB
 IS)\, will be held from 17 to 19 March 2026\, in Uppsala\, Sweden\, &nbsp\
 ;with an optional pre-course Q&amp\;A session held online on 10 March 2026
 . This three-day course is designed to help researchers in the life scienc
 es take their first steps towards a more structured\, systematic\, and rep
 roducible approach to managing research data. Through a combination of lec
 tures and hands-on computer exercises\, participants will explore key data
  management concepts such as the principles of Open Science and FAIR\, met
 adata standards\, data publication\, version control using Git and GitHub\
 , and writing effective data management plans.&nbsp\;</p><p data-start=\"8
 48\" data-end=\"1663\" data-is-last-node data-is-only-node><strong data-st
 art=\"848\" data-end=\"867\">Target audience</strong><br>This course is de
 signed for PhD students\, postdoctoral researchers\, and staff members at 
 Swedish universities who aim to develop foundational skills in research da
 ta management. Applications are also welcome from international or non-aca
 demic participants\, although space is limited to 25 participants\, with s
 election based on eligibility\, motivation\, and diversity considerations.
  No programming experience is required.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194317Z
END:VEVENT
BEGIN:VEVENT
UID:69f3b0d5590ea
DTSTART;VALUE=DATE:20260318
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260319
SUMMARY:Introduction to Data Management Practices
CLASS:PUBLIC
DESCRIPTION:The Introduction to Data Management Practices course\, organise
 d by the National Bioinformatics Infrastructure Sweden (NBIS)\, will be he
 ld from 17 to 19 March 2026\, in Uppsala\, Sweden\, &nbsp\;with an optiona
 l pre-course Q&amp\;A session held online on 10 March 2026. This three-day
  course is designed to help researchers in the life sciences take their fi
 rst steps towards a more structured\, systematic\, and reproducible approa
 ch to managing research data. Through a combination of lectures and hands-
 on computer exercises\, participants will explore key data management conc
 epts such as the principles of Open Science and FAIR\, metadata standards\
 , data publication\, version control using Git and GitHub\, and writing ef
 fective data management plans.&nbsp\;Target audienceThis course is designe
 d for PhD students\, postdoctoral researchers\, and staff members at Swedi
 sh universities who aim to develop foundational skills in research data ma
 nagement. Applications are also welcome from international or non-academic
  participants\, although space is limited to 25 participants\, with select
 ion based on eligibility\, motivation\, and diversity considerations. No p
 rogramming experience is required.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"846\">The <em>Introduction to Data Management Practices</em> c
 ourse\, organised by the National Bioinformatics Infrastructure Sweden (NB
 IS)\, will be held from 17 to 19 March 2026\, in Uppsala\, Sweden\, &nbsp\
 ;with an optional pre-course Q&amp\;A session held online on 10 March 2026
 . This three-day course is designed to help researchers in the life scienc
 es take their first steps towards a more structured\, systematic\, and rep
 roducible approach to managing research data. Through a combination of lec
 tures and hands-on computer exercises\, participants will explore key data
  management concepts such as the principles of Open Science and FAIR\, met
 adata standards\, data publication\, version control using Git and GitHub\
 , and writing effective data management plans.&nbsp\;</p><p data-start=\"8
 48\" data-end=\"1663\" data-is-last-node data-is-only-node><strong data-st
 art=\"848\" data-end=\"867\">Target audience</strong><br>This course is de
 signed for PhD students\, postdoctoral researchers\, and staff members at 
 Swedish universities who aim to develop foundational skills in research da
 ta management. Applications are also welcome from international or non-aca
 demic participants\, although space is limited to 25 participants\, with s
 election based on eligibility\, motivation\, and diversity considerations.
  No programming experience is required.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194317Z
END:VEVENT
BEGIN:VEVENT
UID:69f3b0d5590f6
DTSTART;VALUE=DATE:20260319
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260320
SUMMARY:Introduction to Data Management Practices
CLASS:PUBLIC
DESCRIPTION:The Introduction to Data Management Practices course\, organise
 d by the National Bioinformatics Infrastructure Sweden (NBIS)\, will be he
 ld from 17 to 19 March 2026\, in Uppsala\, Sweden\, &nbsp\;with an optiona
 l pre-course Q&amp\;A session held online on 10 March 2026. This three-day
  course is designed to help researchers in the life sciences take their fi
 rst steps towards a more structured\, systematic\, and reproducible approa
 ch to managing research data. Through a combination of lectures and hands-
 on computer exercises\, participants will explore key data management conc
 epts such as the principles of Open Science and FAIR\, metadata standards\
 , data publication\, version control using Git and GitHub\, and writing ef
 fective data management plans.&nbsp\;Target audienceThis course is designe
 d for PhD students\, postdoctoral researchers\, and staff members at Swedi
 sh universities who aim to develop foundational skills in research data ma
 nagement. Applications are also welcome from international or non-academic
  participants\, although space is limited to 25 participants\, with select
 ion based on eligibility\, motivation\, and diversity considerations. No p
 rogramming experience is required.
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p data-start=\"0\"
  data-end=\"846\">The <em>Introduction to Data Management Practices</em> c
 ourse\, organised by the National Bioinformatics Infrastructure Sweden (NB
 IS)\, will be held from 17 to 19 March 2026\, in Uppsala\, Sweden\, &nbsp\
 ;with an optional pre-course Q&amp\;A session held online on 10 March 2026
 . This three-day course is designed to help researchers in the life scienc
 es take their first steps towards a more structured\, systematic\, and rep
 roducible approach to managing research data. Through a combination of lec
 tures and hands-on computer exercises\, participants will explore key data
  management concepts such as the principles of Open Science and FAIR\, met
 adata standards\, data publication\, version control using Git and GitHub\
 , and writing effective data management plans.&nbsp\;</p><p data-start=\"8
 48\" data-end=\"1663\" data-is-last-node data-is-only-node><strong data-st
 art=\"848\" data-end=\"867\">Target audience</strong><br>This course is de
 signed for PhD students\, postdoctoral researchers\, and staff members at 
 Swedish universities who aim to develop foundational skills in research da
 ta management. Applications are also welcome from international or non-aca
 demic participants\, although space is limited to 25 participants\, with s
 election based on eligibility\, motivation\, and diversity considerations.
  No programming experience is required.</p></body></html>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194317Z
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