How to make your data FAIR - Guide for Researchers
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
Why are the FAIR principles needed? The increasing availability of online resources means that data need to be created with longevity in mind. Providing other researchers with access to your data facilitates knowledge discovery and improves research transparency. Learn about best practices to achieve this objective.
1 - General
1.1 - Identifier
29
1.2 - URL type
URI
1.3 - URL
https://www.openaire.eu/how-to-make-your-data-fair?rCH=2
1.4 - Title
How to make your data FAIR - Guide for Researchers
1.5 - Language
en
1.6 - Description
("en_US","Why are the FAIR principles needed? The increasing availability of online resources means that data need to be created with longevity in mind. Providing other researchers with access to your data facilitates knowledge discovery and improves research transparency.")
1.7 - Keywords
fair data
data management
data stewardship
data management
data stewardship
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
OpenAIRE
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
Low
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Easy
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
OpenAIRE
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","CC ATTRIBUTION 4.0 INTERNATIONAL 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 | 29 |
|---|---|
| Uploaded by | Lucia Vaira |
| Available since | 27/01/20 10:25 |