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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https://hdl.handle.net/10316.2/38554| Title: | Tracking and prediction of track and field events in untrained adolescent boys from 12 to 17 years of age | Authors: | Lefevre, Johan Ponnet, Paul Claessen, Albrecht Thomis, Martine Beunen, Gaston P |
Issue Date: | 2013 | Publisher: | Imprensa da Universidade de Coimbra | Journal: | http://hdl.handle.net/10316.2/38540 | URI: | https://hdl.handle.net/10316.2/38554 | ISBN: | 978-989-26-0561-6 978-989-26-0773-3 (PDF) |
DOI: | 10.14195/978-989-26-0773-3_12 | Rights: | open access |
| Appears in Collections: | Growth and maturation in human biology and sports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| tracking_and_prediction_of_track.pdf | 469.91 kB | Adobe PDF |  |
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