FAIR Principles Training - PARTHENOS
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
Eight training modules related to FAIR principles.
Although they have been organised as a school to suit self-learners as well, the PARTHENOS Project training materials are primarily intended as ‘train-the-trainers’ support materials. Although research infrastructures and projects are becoming more and more of a destination for DH graduates, their operations are often at one remove from the academic units providing their training. The materials on this web site are intended to assist in bridging that gap, overcoming the general inclination within infrastructure projects to provide only training on tools, rather than finding effective ways to transfer a greater bulk of our experiential knowledge.
1 - General
fair
data mangement
2 - Life Cycle
2.3 - Contribute
3 - Educational
4 - Technical
G4: GDPR (General Data Protection Regulation) issues related to data sharing
G5: Basic Research Data Management (RDM)
R4: Certification schemes for repositories (CoreTrustSeal)
R6: Data Management Plans
R8: Licenses & policies for data use
R9: Linked Data and ontologies
R10: Metadata standards & schemas (including geospatial, instruments, variables)
5 - Relation
Details
Code | 22 |
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Uploaded by | Lucia Vaira |
Available since | 24/01/20 17:01 |