FAIR Data Training - DTL
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
With the FAIR Data principles gaining momentum, many people want to learn more about FAIR Data.
This FAIR Data training may be generic (i.e., applicable in all research domains for all researchers) or tailored to specific domain experts and data (e.g., medical researchers with patient data). Training related to Data Management and Data Stewardship is also part of this tutorial training.
1 - General
1.1 - Identifier
19
1.2 - URL type
URI
1.3 - URL
https://www.dtls.nl/fair-data/fair-data-training/
1.4 - Title
FAIR Data Training
1.5 - Language
en
1.6 - Description
("en_US","With the FAIR Data principles gaining momentum, many people want to learn more about FAIR Data. This FAIR Data training may be generic (i.e., applicable in all research domains for all researchers) or tailored to specific domain experts and data (e.g., medical researchers with patient data). Training related to Data Management and Data Stewardship is also part of this training.")
1.7 - Keywords
data management
fair
data stewardship
fair
data stewardship
1.8 - Geographical availability
2013-2020
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
DTL - Dutch Techcentre for Life Sciences
2.4 - Date
2013-2020
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
© 2020 Dutch Techcentre for Life Sciences
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","© 2020 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
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 | 19 |
---|---|
Uploaded by | Lucia Vaira |
Available since | 24/01/20 16:17 |