Farm Data Train
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 Farm Data Train project aims to connect agricultural data to make them more usable. It is a joint initiative of DTL, GODAN, CABI, and Wageningen UR. Access the video tutorial here.
1 - General
1.1 - Identifier
27
1.2 - URL type
URI
1.3 - URL
https://vimeo.com/215975839
1.4 - Title
Farm Data Train
1.5 - Language
en
1.6 - Description
("en_US","The Farm Data Train project aims to connect agricultural data to make them more usable. It is a joint initiative of DTL, GODAN, CABI, and Wageningen UR.")
1.7 - Keywords
agricultural data
data training
data training
1.8 - Geographical availability
("en_US","2018")
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
DTL - Dutch TechCentre for Life Sciences
2.4 - Date
2018
3 - Educational
3.1 - Interactivity type
Expositive
3.2 - Learning resource type
Video
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
PT2M33S
3.9 - Learning outcome(s)
3.10 - Access rights
DTL - Dutch TechCentre for Life Sciences
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","DTL - Dutch TechCentre for Life Sciences")
4 - Technical
4.1 - Size
Not available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
G1: Introduction to FAIR principles
R1: Access control (Authorization-Authentication-Identification, or AAI) methods
R10: Metadata standards & schemas (including geospatial, instruments, variables)
R11: PID allocation & use (including citation support, bibliometry, provenance)
R1: Access control (Authorization-Authentication-Identification, or AAI) methods
R10: Metadata standards & schemas (including geospatial, instruments, variables)
R11: PID allocation & use (including citation support, bibliometry, provenance)
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource
Details
| Code | 27 |
|---|---|
| Uploaded by | Lucia Vaira |
| Available since | 27/01/20 09:59 |