FAIRsharing.org

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 curated, informative and educational tutorial on data and metadata standards, inter-related to databases and data policies.

1 - General
1.1 - Identifier
25
1.2 - URL type
URI
1.3 - URL
https://fairsharing.org
1.4 - Title
FAIRsharing.org
1.5 - Language
en
1.6 - Description
("en_US","A curated, informative and educational resource on data and metadata standards, inter-related to databases and data policies")
1.7 - Keywords
databases
policies
standard
fair data
collections
reccomendations
1.8 - Geographical availability
("en_US","2009-2020")
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
FAIRsharing
2.4 - Date
2020-01-24
3 - Educational
3.1 - Interactivity type
Active
3.2 - Learning resource type
Lecture
3.3 - Interactivity level
Low
3.4 - Semantic density
Medium
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
FAIRsharing
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","Creative Commons by Share Alike 4.0 International")
4 - Technical
4.1 - Size
Not available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
G1: Introduction to FAIR principles
G2: Metrics for FAIRness evaluation
G3: Performing a FAIRness self-assessment
G4: GDPR (General Data Protection Regulation) issues related to data sharing
G5: Basic Research Data Management (RDM)
G6: Writing technical documentation for services
G7: Other
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource

Details

Code25
Uploaded byLucia Vaira
Available since24/01/20 17:43

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