FAIR for Beginners
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
A school to learn about the FAIR principles and why they are important, gain insight into how they are used and find FAIR tools you can use in your research.
1 - General
1.1 - Identifier
21
1.2 - URL type
URI
1.3 - URL
https://www.deic.dk/en/data-management/instructions-and-guides/FAIR-for-Beginners
1.4 - Title
FAIR for Beginners
1.5 - Language
en; dn
1.6 - Description
("en_US","Learn about the FAIR principles and why they are important, gain insight into how they are used and find FAIR tools you can use in your research.")
1.7 - Keywords
fair data
data mangement
fair
learningpath01
data mangement
fair
learningpath01
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
DeiC
2.4 - Date
Not available
3 - Educational
3.1 - Interactivity type
Active
3.2 - Learning resource type
Lecture
3.3 - Interactivity level
Medium
3.4 - Semantic density
Medium
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Knowledge-dependent
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
Danish e-infrastructure Cooperation (DeiC)
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US"," Free access")
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 | 21 |
|---|---|
| Uploaded by | Lucia Vaira |
| Available since | 24/01/20 16:48 |