FAIR Training - Phortos

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 key element of the transition to pervasive FAIR data is training up a new generation of data specialists that enable and support researchers. Phortos Consultants has developed curriculums for the following key positions in this FAIR Data ecosystem:

- FAIR Readiness Program Manager: oversees the end-to-end readiness program that is executed when organisations decide to implement a FAIR Data approach.
- FAIR Data Steward: Oversees the data life cycle in general and those of specific projects once a FAIR data approach is operational.
- FAIR Data & Services Operator: Operationally manages and executes FAIR data tooling.
- FAIR Data & Services Engineer: Develops tooling & apps.

For each of these roles there are different types of training and workshops.

1 - General
1.1 - Identifier
24
1.2 - URL type
URI
1.3 - URL
https://www.phortosconsultants.com/training
1.4 - Title
FAIR Training - Phortos
1.5 - Language
en
1.6 - Description
("en_US","5 days courses which include the 1-day Fair Awareness course. The courses are given by leading experts in the area of FAIR data, ontological & semantic technologies, data stewardship and their practical application in enabling data driven research.")
1.7 - Keywords
fair data
fair
data mangement
data stewardship
1.8 - Geographical availability
("en_US","Not available")
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
Phortos Consultants
2.4 - Date
Not available
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
CC BY 2019 - Phortos Consultants
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","CC BY 2019 - Phortos Consultants")
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
R3: Cataloguing - design & implementation
R8: Licenses & policies for data use
R9: Linked Data and ontologies
R10: Metadata standards & schemas (including geospatial, instruments, variables)
R13: Provenance tracing
R16: Workflow engines for automated data processing
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource

Details

Code24
Uploaded byLucia Vaira
Available since24/01/20 17:33

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