BEGIN:VCALENDAR
VERSION:2.0
PRODID:www.eu-parc.eu
BEGIN:VEVENT
UID:69f3b1a65ebc0
DTSTART;VALUE=DATE:20240522
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20240523
SUMMARY:FAIR Data and Databases
CLASS:PUBLIC
DESCRIPTION:PARC organised an in-person training course on FAIR Data and Da
tabases\, which took place in Ljubljana\, Slovenia\, from 22 to 24 May 202
4. The course was hosted under the scientific coordination of the Jožef S
tefan Institute\, in collaboration with PARC. The program addressed the cr
itical need for FAIRification of data to enhance exchange and re-use of in
formation across scientific disciplines and to strengthen capacities for c
hemical risk assessment. Participants were introduced to FAIR principles\,
practices\, and terminology\, and trained in efficient and reliable data
management approaches.Training content• Introduction to FAIR data princi
ples\, terminology\, and tools• Efficient data management - the training
provided insight into the use of Python and SQL (Structured Query Languag
e) in the context of relational databases.• Training on the use of FAIR
Implementation Profiles (FIPs) to evaluate the FAIRness of existing databa
ses• Hands-on sessions on the extraction of geospatial data from Europea
n databases for PARC-related activitiesTarget audienceThe course was desig
ned for researchers and students producing experimental data related to ch
emical exposure\, hazard and risk assessment\, as well as those extracting
and using data stored in existing databases for chemical risk assessment.
Expertise in computer or data sciences was considered an asset.Practical
detailsThe three-day course was open to both PARC members and non-members\
, with priority given to PARC partners outside WP7. Selection was based on
applicants’ motivation\, expertise\, and geographical representation. T
here were no registration fees.Training highlightsFor a detailed summary o
f the training outcomes and participation\, please click here. Training ma
terials developed and used during the training were not made publicly avai
lable\, but you can find other related training resources in the PARC Repo
sitory of Learning and Educational Materials.
X-ALT-DESC;FMTTYPE=text/html:PARC organised an in-person training course on FAIR Data and Databases\, which took
place in Ljubljana\, Slovenia\, from 22 to 24 May 2024. The course was ho
sted under the scientific coordination of the Jožef Stefan Institute\, in
collaboration with PARC. The program addressed the critical need for FAIR
ification of data to enhance exchange and re-use of information across sci
entific disciplines and to strengthen capacities for chemical risk assessm
ent. Participants were introduced to FAIR principles\, practices\, and ter
minology\, and trained in efficient and reliable data management approache
s.
Training content
• Introduction to FAIR data
principles\, terminology\, and tools
• Efficient data management - t
he training provided insight into the use of Python and SQL (Structured Qu
ery Language) in the context of relational databases.
• Training on t
he use of FAIR Implementation Profiles (FIPs) to evaluate the FAIRness of
existing databases
• Hands-on sessions on the extraction of geospatia
l data from European databases for PARC-related activities
Target audience
The course was designed for researchers and s
tudents producing experimental data related to chemical exposure\, hazard
and risk assessment\, as well as those extracting and using data stored in
existing databases for chemical risk assessment. Expertise in computer or
data sciences was considered an asset.
Practical details<
/strong>
The three-day course was open to both PARC members and non-mem
bers\, with priority given to PARC partners outside WP7. Selection was bas
ed on applicants’ motivation\, expertise\, and geographical representati
on. There were no registration fees.
Training highlights
For a detailed summary of the training outcomes and participati
on\, please click h
ere. Training materials developed and used during the training were no
t made publicly available\, but you can find other related training resour
ces in the PARC Repo
sitory of Learning and Educational Materials.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194646Z
END:VEVENT
BEGIN:VEVENT
UID:69f3b1a65ebf5
DTSTART;VALUE=DATE:20240523
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20240524
SUMMARY:FAIR Data and Databases
CLASS:PUBLIC
DESCRIPTION:PARC organised an in-person training course on FAIR Data and Da
tabases\, which took place in Ljubljana\, Slovenia\, from 22 to 24 May 202
4. The course was hosted under the scientific coordination of the Jožef S
tefan Institute\, in collaboration with PARC. The program addressed the cr
itical need for FAIRification of data to enhance exchange and re-use of in
formation across scientific disciplines and to strengthen capacities for c
hemical risk assessment. Participants were introduced to FAIR principles\,
practices\, and terminology\, and trained in efficient and reliable data
management approaches.Training content• Introduction to FAIR data princi
ples\, terminology\, and tools• Efficient data management - the training
provided insight into the use of Python and SQL (Structured Query Languag
e) in the context of relational databases.• Training on the use of FAIR
Implementation Profiles (FIPs) to evaluate the FAIRness of existing databa
ses• Hands-on sessions on the extraction of geospatial data from Europea
n databases for PARC-related activitiesTarget audienceThe course was desig
ned for researchers and students producing experimental data related to ch
emical exposure\, hazard and risk assessment\, as well as those extracting
and using data stored in existing databases for chemical risk assessment.
Expertise in computer or data sciences was considered an asset.Practical
detailsThe three-day course was open to both PARC members and non-members\
, with priority given to PARC partners outside WP7. Selection was based on
applicants’ motivation\, expertise\, and geographical representation. T
here were no registration fees.Training highlightsFor a detailed summary o
f the training outcomes and participation\, please click here. Training ma
terials developed and used during the training were not made publicly avai
lable\, but you can find other related training resources in the PARC Repo
sitory of Learning and Educational Materials.
X-ALT-DESC;FMTTYPE=text/html:PARC organised an in-person training course on FAIR Data and Databases\, which took
place in Ljubljana\, Slovenia\, from 22 to 24 May 2024. The course was ho
sted under the scientific coordination of the Jožef Stefan Institute\, in
collaboration with PARC. The program addressed the critical need for FAIR
ification of data to enhance exchange and re-use of information across sci
entific disciplines and to strengthen capacities for chemical risk assessm
ent. Participants were introduced to FAIR principles\, practices\, and ter
minology\, and trained in efficient and reliable data management approache
s.
Training content
• Introduction to FAIR data
principles\, terminology\, and tools
• Efficient data management - t
he training provided insight into the use of Python and SQL (Structured Qu
ery Language) in the context of relational databases.
• Training on t
he use of FAIR Implementation Profiles (FIPs) to evaluate the FAIRness of
existing databases
• Hands-on sessions on the extraction of geospatia
l data from European databases for PARC-related activities
Target audience
The course was designed for researchers and s
tudents producing experimental data related to chemical exposure\, hazard
and risk assessment\, as well as those extracting and using data stored in
existing databases for chemical risk assessment. Expertise in computer or
data sciences was considered an asset.
Practical details<
/strong>
The three-day course was open to both PARC members and non-mem
bers\, with priority given to PARC partners outside WP7. Selection was bas
ed on applicants’ motivation\, expertise\, and geographical representati
on. There were no registration fees.
Training highlights
For a detailed summary of the training outcomes and participati
on\, please click h
ere. Training materials developed and used during the training were no
t made publicly available\, but you can find other related training resour
ces in the PARC Repo
sitory of Learning and Educational Materials.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194646Z
END:VEVENT
BEGIN:VEVENT
UID:69f3b1a65ec0e
DTSTART;VALUE=DATE:20240524
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20240525
SUMMARY:FAIR Data and Databases
CLASS:PUBLIC
DESCRIPTION:PARC organised an in-person training course on FAIR Data and Da
tabases\, which took place in Ljubljana\, Slovenia\, from 22 to 24 May 202
4. The course was hosted under the scientific coordination of the Jožef S
tefan Institute\, in collaboration with PARC. The program addressed the cr
itical need for FAIRification of data to enhance exchange and re-use of in
formation across scientific disciplines and to strengthen capacities for c
hemical risk assessment. Participants were introduced to FAIR principles\,
practices\, and terminology\, and trained in efficient and reliable data
management approaches.Training content• Introduction to FAIR data princi
ples\, terminology\, and tools• Efficient data management - the training
provided insight into the use of Python and SQL (Structured Query Languag
e) in the context of relational databases.• Training on the use of FAIR
Implementation Profiles (FIPs) to evaluate the FAIRness of existing databa
ses• Hands-on sessions on the extraction of geospatial data from Europea
n databases for PARC-related activitiesTarget audienceThe course was desig
ned for researchers and students producing experimental data related to ch
emical exposure\, hazard and risk assessment\, as well as those extracting
and using data stored in existing databases for chemical risk assessment.
Expertise in computer or data sciences was considered an asset.Practical
detailsThe three-day course was open to both PARC members and non-members\
, with priority given to PARC partners outside WP7. Selection was based on
applicants’ motivation\, expertise\, and geographical representation. T
here were no registration fees.Training highlightsFor a detailed summary o
f the training outcomes and participation\, please click here. Training ma
terials developed and used during the training were not made publicly avai
lable\, but you can find other related training resources in the PARC Repo
sitory of Learning and Educational Materials.
X-ALT-DESC;FMTTYPE=text/html:PARC organised an in-person training course on FAIR Data and Databases\, which took
place in Ljubljana\, Slovenia\, from 22 to 24 May 2024. The course was ho
sted under the scientific coordination of the Jožef Stefan Institute\, in
collaboration with PARC. The program addressed the critical need for FAIR
ification of data to enhance exchange and re-use of information across sci
entific disciplines and to strengthen capacities for chemical risk assessm
ent. Participants were introduced to FAIR principles\, practices\, and ter
minology\, and trained in efficient and reliable data management approache
s.
Training content
• Introduction to FAIR data
principles\, terminology\, and tools
• Efficient data management - t
he training provided insight into the use of Python and SQL (Structured Qu
ery Language) in the context of relational databases.
• Training on t
he use of FAIR Implementation Profiles (FIPs) to evaluate the FAIRness of
existing databases
• Hands-on sessions on the extraction of geospatia
l data from European databases for PARC-related activities
Target audience
The course was designed for researchers and s
tudents producing experimental data related to chemical exposure\, hazard
and risk assessment\, as well as those extracting and using data stored in
existing databases for chemical risk assessment. Expertise in computer or
data sciences was considered an asset.
Practical details<
/strong>
The three-day course was open to both PARC members and non-mem
bers\, with priority given to PARC partners outside WP7. Selection was bas
ed on applicants’ motivation\, expertise\, and geographical representati
on. There were no registration fees.
Training highlights
For a detailed summary of the training outcomes and participati
on\, please click h
ere. Training materials developed and used during the training were no
t made publicly available\, but you can find other related training resour
ces in the PARC Repo
sitory of Learning and Educational Materials.
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260430T194646Z
END:VEVENT
END:VCALENDAR