DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316.2/116407| DC Field | Value | Language |
|---|---|---|
| dc.date.accessioned | 2022-09-30T15:58:35Z | - |
| dc.date.available | 2022-09-30T15:58:35Z | - |
| dc.date.issued | 2006 | |
| dc.identifier.isbn | 9279004530 | |
| dc.identifier.uri | https://hdl.handle.net/10316.2/116407 | - |
| dc.publisher | OOPEC | |
| dc.title | EU integration seen through statistics [documento electrónico] : key facts of 18 policy areas / Statistical Office of the European Communities | |
| uc.publication.location | Luxembourg | |
| uc.publication.siib | b2372138 | |
| item.fulltext | With Fulltext | - |
| item.grantfulltext | open | - |
| Appears in Collections: | UCFD - Centro de Documentação Europeia | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| 729-06.pdf | 2.43 MB | Adobe PDF | View/Open |
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