Towards the ENVRI Community International Winter School DATA FAIRness - Webinar Programme July - September 2020

This catalogue respects all FAIR guidelines and best practices. It is based on the IEEE Standard for Learning Object Metadata (IEEE 2002) that has been customised in order to be compliant with the EOSC Training Resource Profile - Data Model.

Description

For two years in a row already, the ENVRI Community International Summer School on Data FAIRness has been assembling in Lecce, in the middle of the summer season, those researchers, experts and technical staff from different environmental and research infrastructures who want to deepen their knowledge on this topic. Unfortunately, the ongoing COVID-19 restrictions have ordained the postponement of the current edition until the beginning of next year, when the ‘ENVRI Community Winter School on Data FAIRness' will take place, always in Lecce. The delay has created the opportunity to enrich our training offerings on the subject, with a series of online workshops dedicated to data management, leading the way ‘Towards the ENVRI community Winter School'.

Three webinars on Data FAIRness have been jointly organised by ENVRI-FAIR and LifeWatch ERIC from July to September 2020, with a focus on helping end users, particularly ENVRI-FAIR project partners and data centre staff, make the best use of their data.

Under the heading of ‘Towards the ENVRI Community Winter School', the online training series debuts on Monday 13 July 2020. The first broadcast is presented by Zhiming Zhao, from the University of Amsterdam, and will go to air from 9:30 to 12:00 CEST, providing ‘An introduction to Cloud Computing'

The second webinar on ‘Workflows Orchestration and Execution' will follow on Tuesday 14 July, from 10:00-12:00, presented by Nicola Fiore and Lucia Vaira, both from LifeWatch ERIC. 

The third webcast is scheduled for 22 September and will feature Claudio D'Onofrio and Karolina Pantazatou, both from ICOS ERIC, with ‘An Introduction to Jupyter'.

1 - General
1.1 - Identifier
43
1.2 - URL type
URL
1.3 - URL
https://training.envri.eu/course/view.php?id=46
1.4 - Title
Towards the ENVRI Community International Winter School DATA FAIRness - Webinar Programme
1.5 - Language
en
1.6 - Description
("en_US","For two years in a row already, the ENVRI Community International Summer School on Data FAIRness has been assembling in Lecce, in the middle of the summer season, those researchers, experts and technical staff from different environmental and research infrastructures who want to deepen their knowledge on this topic. Unfortunately, the ongoing COVID-19 restrictions have ordained the postponement of the current edition until the beginning of next year, when the ‘ENVRI Community Winter School on Data FAIRness' will take place, always in Lecce. The delay has created the opportunity to enrich our training offerings on the subject, with a series of online webinars dedicated to data management, leading the way ‘Towards the ENVRI community Winter School'. Three webinars on Data FAIRness have been jointly organised by ENVRI-FAIR and LifeWatch ERIC from July to September 2020, with a focus on helping end users, particularly ENVRI-FAIR project partners and data centre staff, make the best use of their data. Under the heading of ‘Towards the ENVRI Community Winter School', the online training series debuts on Monday 13 July 2020. The first broadcast is presented by Zhiming Zhao, from the University of Amsterdam, and will go to air from 9:30 to 12:00 CEST, providing ‘An introduction to Cloud Computing'. The second webinar on ‘Workflows Orchestration and Execution' will follow on Tuesday 14 July, from 10:00-12:00, presented by Nicola Fiore and Lucia Vaira, both from LifeWatch ERIC. The third webcast is scheduled for 22 September and will feature Claudio D'Onofrio and Karolina Pantazatou, both from ICOS ERIC, with ‘An Introduction to Jupyter'.")
1.7 - Keywords
ENVRI
FAIRNESS
Cloud Computing
Workflow
Jupyter
Data
Webinar
1.8 - Geographical availability
("en_US","2020")
2 - Life Cycle
2.1 - Version
("en_US","Not available")
2.2 - Status
Final
2.3 - Contribute
2.3.1 - Role
Author
2.3.2 - Entity
ENVRI-FAIR and LifeWatch ERIC
2.4 - Date
July - September 2020
3 - Educational
3.1 - Interactivity type
Mixed
3.2 - Learning resource type
Webinar
3.3 - Interactivity level
Low
3.4 - Semantic density
Medium
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Medium
3.8 - Typical learning time
PT6H
3.9 - Learning outcome(s)
3.10 - Access rights
ENVRI-FAIR project Work Package 6 Core Team
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","ENVRI-FAIR project Work Package 6 Core Team")
4 - Technical
4.1 - Size
Not available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
R5: Cloud computing (Virtual Machines & containers) for data processing
R15: Virtual Research Environments for data analysis (design & implementation)
R16: Workflow engines for automated data processing
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource

Details

Code43
Uploaded byLucia Vaira
Available since15/07/20 10:41

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