8. Software Repositories
Catch-all Repositories
CRIS
Data Repositories
Catch-all Repositories
Institutional & thematic
repositories
RESEARCH LITERATURE
Thematic Repositories
Institutional Repositories
E-journals
RESEARCH SOFTWARE
RESEARCH DATA
RESEARCHINFORMATION
FROMGuidelinesforDataProviders
TOGuidelinesforOpenScienceContentProviders
8
11. • Funder perspective
• Linkfundinginformationwithresearchoutput
• Author andReader perspective
• Linkauthorsandcontributorswiththeirresearchoutputandeasenamedisambiguation
• Service provider perspective
• Avoidoverloadingofoai_dcmetadata
• Makemaintenanceandmappingsofcontrolledvocabularieseasierbyhelpofidentifiers
• Makeidentificationofresourceseasier(e.g.forTDM)
• Improvealignmentwithotherregionalrepositorynetworks
• Agree on a shared set of metadata properties and controlled vocabularies
• Allow for region specific extensions
• Examples: LA Referencia, JAIRO (Japanese Institutional Repositories Online)
Upgrade needs from different perspectives
11
13. • Build an application profile based on established and widely
used metadata schemes in repositories
• DublinCoreandDataCitev4.1
• Allow for additional properties when needed
• Align with other repository networks
Approach
14. • Re-use and adaptation of controlled values used in the
DataCite schema
• E.g.identifiertypes,roletypes,relationtypes
• Controlled Vocabularies defined by the COAR community
• E.g.resourcetypes,accessrights,versiontypes
• Controlled Vocabularies defined in OpenMinTeD Guidelines
• E.g.licenses
Controlled Vocabularies
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15. • General aspects
• Uniqueidentificationofvocabularyconcepts
• Improvedgranularity
• MultilingualSupport
• ImplementedinSKOS
• Resource Types
• http://vocabularies.coar-repositories.org/documentation/resource_types/
• Access Rights
• http://vocabularies.coar-repositories.org/documentation/access_rights/
COAR Resource Types and Access Rights
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19. THE CHALLENGE
•Enrichment is straightforward
•Harvesting from repository and return to repository its records if they
have been “enriched” by deduplication and/or inference
•Addition is less obvious
•Based on relationships, in turn identified by inference algorithms
•Must be augmented with notion of “trust” to enable “tuning” options in
order to reduce false positive notifications
Literature broker service
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