I-Adopt Framework Workshop

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 RDA I-ADOPT framework offers a way to compile clear and unambiguous definitions of variables in a standardised way. It helps you to describe concepts at different levels, ranging from overarching classes (“soil composition”) down to the very detailed (“soil water content, measured in a mineral soil matrix below root depth”).  You can create and register your own definitions, or reuse those of others, and once in place use them to tag your RI’s datasets.The formalized descriptions empower FAIR in many ways, for example by facilitating searches across data portals (F+A) and enabling machine-driven interpretation and use of data and metadata (I+R).

1 - General
1.1 - Identifier
56
1.2 - URL type
URL
1.3 - URL
https://training.envri.eu/course/view.php?id=58
1.4 - Title
I-Adopt Framework Workshop
1.5 - Language
en
1.6 - Description
("en_US","The RDA I-ADOPT framework offers a way to compile clear and unambiguous definitions of variables in a standardised way. It helps you to describe concepts at different levels, ranging from overarching classes (“soil composition”) down to the very detailed (“soil water content, measured in a mineral soil matrix below root depth”). You can create and register your own definitions, or reuse those of others, and once in place use them to tag your RI’s datasets.The formalized descriptions empower FAIR in many ways, for example by facilitating searches across data portals (F+A) and enabling machine-driven interpretation and use of data and metadata (I+R).")
1.7 - Keywords
framework
ENVRI FAIR
ontology
learningpath02
1.8 - Geographical availability
("en_US","2022")
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
2.4 - Date
2022
3 - Educational
3.1 - Interactivity type
Active
3.2 - Learning resource type
Video
3.3 - Interactivity level
Medium
3.4 - Semantic density
Medium
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Medium
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
ENVRI-FAIR
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","ENVRI-FAIR ")
4 - Technical
4.1 - Size
Not Available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
G5: Basic Research Data Management (RDM)
R3: Cataloguing - design & implementation
R4: Certification schemes for repositories (CoreTrustSeal)
R10: Metadata standards & schemas (including geospatial, instruments, variables)
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource

Details

Code56
Uploaded byMaria Teresa Manca
Available since26/05/22 17:23

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