Data FAIRNESS - International Summer School
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
This module includes the website of the International Summer School for Environmental and Earth Science Infrastructure that has been held in Lecce from 1st to 5th July 2019.
1 - General
1.1 - Identifier
7
1.2 - URL type
URI
1.3 - URL
https://training.envri.eu/course/view.php?id=43
1.4 - Title
INTERNATIONAL SUMMER SCHOOL Data FAIRness in Environmental and Earth Science Infrastructures: theory and practice
1.5 - Language
en
1.6 - Description
("en_US","In recent years, one of the major challenges in the Environmental and Earth Science has been managing and searching larger volumes of complex data, collected across multiple disciplines. Many different standards, technologies and common practices have been developed to support each phase of the Data Lifecycle (Data Acquisition, Data Curation, Data Publishing, Data Processing and Data (Re)Use. The course will focus on the creation and reuse of FAIR data and services in the Environmental and Earth sciences. It is built as a five-day summer school where leading scientists will address various topics from different perspectives.")
1.7 - Keywords
data fairness
data
fair
learningpath01
data
fair
learningpath01
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
ENVRI-FAIR and LifeWatch ERIC
2.4 - Date
2019-07-01
3 - Educational
3.1 - Interactivity type
Active
3.2 - Learning resource type
Lecture
3.3 - Interactivity level
High
3.4 - Semantic density
High
3.5 - Target group
Learner
3.6 - Context
Training
3.7 - Expertise level
Easy
3.8 - Typical learning time
Knowledge-dependent
3.9 - Learning outcome(s)
3.10 - Access rights
Copyright LifeWatch ERIC 2018
3.11 - Cost
No
3.12 - Copyright and other restrictions
Yes
3.13 - Conditions of use
("en_US","Copyright LifeWatch ERIC 2018")
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
R2: API (Application Program Interface) design for data & metadata access
R3: Cataloguing - design & implementation
R6: Data Management Plans
R8: Licenses & policies for data use
R9: Linked Data and ontologies
R10: Metadata standards & schemas (including geospatial, instruments, variables)
R11: PID allocation & use (including citation support, bibliometry, provenance)
R12: Portal design & operation
R13: Provenance tracing
R16: Workflow engines for automated data processing
G2: Metrics for FAIRness evaluation
G3: Performing a FAIRness self-assessment
R2: API (Application Program Interface) design for data & metadata access
R3: Cataloguing - design & implementation
R6: Data Management Plans
R8: Licenses & policies for data use
R9: Linked Data and ontologies
R10: Metadata standards & schemas (including geospatial, instruments, variables)
R11: PID allocation & use (including citation support, bibliometry, provenance)
R12: Portal design & operation
R13: Provenance tracing
R16: Workflow engines for automated data processing
5 - Relation
5.1 - Kind
5.2 - Entry
Access the resource
Details
| Code | 7 |
|---|---|
| Uploaded by | Lucia Vaira |
| Available since | 23/01/20 16:43 |