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VERSION:2.0
PRODID:www.eu-parc.eu
BEGIN:VEVENT
UID:69f3b23d0c11f
DTSTART:20251017T070000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20251017T150000Z
SUMMARY:Introduction to Research Data Management (RDM) in Life Sciences
CLASS:PUBLIC
DESCRIPTION:The Introduction to Research Data Management (RDM) in Life Scie
nces training course took place on 17 October 2025 in Ghent\, Belgium. Thi
s training was designed to help researchers integrate RDM practices into t
heir projects from the outset\, with a strong focus on supporting the publ
ication process.Throughout the day\, participants learned how to organise\
, document\, and share their data in ways that promote transparency\, repr
oducibility\, long-term accessibility\, and high-impact publishing. Throug
h hands-on exercises and interactive discussions\, the course introduced e
ssential concepts such as FAIR data\, open data\, and data management\, wh
ile also addressing practical topics like metadata standards and choosing
appropriate repositories.Target audienceThis course was intended for resea
rchers at any career stage looking to improve their research data manageme
nt skills\, whether preparing their first manuscript or refining existing
practices.
X-ALT-DESC;FMTTYPE=text/html:The Introduction to Research Data Management (RDM) i
n Life Sciences training course took place on 17 October 2025 in Ghen
t\, Belgium. This training was designed to help researchers integrate RDM
practices into their projects from the outset\, with a strong focus on sup
porting the publication process.
Throughout the day\, participants learned how to organise\, document\, an
d share their data in ways that promote transparency\, reproducibility\, l
ong-term accessibility\, and high-impact publishing. Through hands-on exer
cises and interactive discussions\, the course introduced essential concep
ts such as FAIR data\, open data\, and data management\, while also addres
sing practical topics like metadata standards and choosing appropriate rep
ositories.
Target audience
This course was intended for researchers at any career stage
looking to improve their research data management skills\, whether prepari
ng their first manuscript or refining existing practices.
DTSTAMP:20260430T194917Z
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