Best practices for creating reusable data publications
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
These best practices help you share your research with the scientific community to increase its visibility and foster collaborations by making your datasets as Findable, Accessible, Interoperable, and Reusable (FAIR) as possible.
1 - General
1.1 - Identifier
3
1.2 - URL type
URL
1.3 - URL
https://datadryad.org/stash/best_practices
1.4 - Title
Best practices for creating reusable data publications
1.5 - Language
en
1.6 - Description
("en_US","These best practices help you share your research with the scientific community to increase its visibility and foster collaborations by making your datasets as Findable, Accessible, Interoperable, and Reusable (FAIR) as possible.")
1.7 - Keywords
data research
data management
best practices
data management
best practices
1.8 - Geographical availability
("en_US","2019")
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
Dryad
2.4 - Date
2019
3 - Educational
3.1 - Interactivity type
Expositive
3.2 - Learning resource type
Narrative text
3.3 - Interactivity level
Low
3.4 - Semantic density
Low
3.5 - Target group
Author
3.6 - Context
Training
3.7 - Expertise level
Easy
3.8 - Typical learning time
PT12M45S
3.9 - Learning outcome(s)
3.10 - Access rights
Copyright (c) 2019 Dryad
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","Free use")
4 - Technical
4.1 - Size
Not available
4.2 - Scientific domain and subdomain
4.3 - Topic codes
G4: GDPR (General Data Protection Regulation) issues related to data sharing
G5: Basic Research Data Management (RDM)
R1: Access control (Authorization-Authentication-Identification, or AAI) methods
R8: Licenses & policies for data use
R13: Provenance tracing
G5: Basic Research Data Management (RDM)
R1: Access control (Authorization-Authentication-Identification, or AAI) methods
R8: Licenses & policies for data use
R13: Provenance tracing
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource
Details
| Code | 3 |
|---|---|
| Uploaded by | Lucia Vaira |
| Available since | 10/12/19 11:49 |