ENVRI-FAIR International School 2021 Services for FAIRness
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
Organised by ENVRI-FAIR and LifeWatch ERIC, the school is at its fourth edition, having established itself as an unmissable opportunity to learn about FAIRness in the framework of Research Infrastructures. Having gone into depth on data FAIRness and data management during previous editions, this year the school will focus on Services for FAIRness, from their design to their development and publication.
The School is organised over a two-week period, on average dedicating around 50 hours in total (including preparations and self-study). It is structured around daily activities, with scheduled lectures and presentations in the mornings (09-13), followed by associated group and individual work time.
1 - General
ENVRI
Web Services
FAIRNESS
2 - Life Cycle
2.3 - Contribute
3 - Educational
4 - Technical
G5: Basic Research Data Management (RDM)
G6: Writing technical documentation for services
R2: API (Application Program Interface) design for data & metadata access
R3: Cataloguing - design & implementation
R16: Workflow engines for automated data processing
5 - Relation
Details
Code | 51 |
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Uploaded by | Maria Teresa Manca |
Available since | 06/10/21 09:51 |