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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Browsing by Author Hsieh, P.H.
Showing results 1 to 1 of 1
| Issue Date | Title | Author(s) | Text |
|---|---|---|---|
| - | Improved Candidate Biomarker Detection Based on Mass Spectrometry Data Using the Hilbert-Huang Transform | Wu, L.C.; Hsieh, P.H.; Horng, J.T.; Jou, Y.J.; Lin, C.D.; Cheng, K.F.; Lin, C.W.; Chen, S.Y. | - |