GO FAIR Training
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
The High Level Expert Group report on the EOSC mentions an urgent need to educate and equip up to 500 thousand data stewards in Europe. Hence, GO FAIR will strongly focus on training. The GO TRAIN pillar will coordinate training and workshop to use and provide FAIR data and services.
1 - General
1.1 - Identifier
28
1.2 - URL type
URI
1.3 - URL
https://www.go-fair.org/training/
1.4 - Title
GO FAIR Training
1.5 - Language
en
1.6 - Description
("en_US","The High Level Expert Group report on the EOSC mentions an urgent need to educate and equip up to 500 thousand data stewards in Europe. Hence, GO FAIR will strongly focus on training. The GO TRAIN pillar will coordinate the training to use and provide FAIR data and services.")
1.7 - Keywords
fair data
data stewards
training
data stewards
training
1.8 - Geographical availability
("en_US","Not available")
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
GO FAIR
2.4 - Date
Not available
3 - Educational
3.1 - Interactivity type
Expositive
3.2 - Learning resource type
Narrative text
3.3 - Interactivity level
Very low
3.4 - Semantic density
Very low
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Very easy
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
GO FAIR
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","Creative Commons Attribution 4.0 License")
4 - Technical
4.1 - Size
Not available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
G1: Introduction to FAIR principles
G5: Basic Research Data Management (RDM)
G5: Basic Research Data Management (RDM)
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource
Details
| Code | 28 |
|---|---|
| Uploaded by | Lucia Vaira |
| Available since | 27/01/20 10:16 |