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:
http://hdl.handle.net/123456789/5252| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Universiti Tun Hussein Onn Malaysia | |
| dc.date.accessioned | 2020-10-31T16:04:48Z | - |
| dc.date.available | 2020-10-31T16:04:48Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/5252 | - |
| dc.description | Semester 1 2018/2019 | |
| dc.title | Artifical Intelligence - BIT 20903 | |
| dc.type | Examination Paper - Undergraduate | |
| item.cerifentitytype | Publications | - |
| item.openairetype | Examination Paper - Undergraduate | - |
| item.grantfulltext | open | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | With Fulltext | - |
| Appears in Collections: | FSKTM - SESI 2018/2019 | |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| e4e920c6-2b9d-409b-bb63-d66e1cc5edeb.pdf | 1.96 MB | Adobe PDF | View/Open |
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