DocumentCode
168398
Title
Vector-Borne Disease Network digital library
Author
Barker, Michelle ; Brower, Donald ; Meyers, Natalie
Author_Institution
James Cook Univ., Cairns, QLD, Australia
fYear
2014
fDate
8-12 Sept. 2014
Firstpage
435
Lastpage
436
Abstract
Borne Disease Network (VecNet)´s digital library provides part of a common analytical framework to assemble data on malaria transmission and make it accessible for the purposes of computational modeling. This poster-paper reports on VecNet digital library development, key decisions related to metadata standards, design, the central role of metadata and authority files in its architecture, and future directions of this Hydra/Fedora based repository solution.
Keywords
digital libraries; diseases; medical computing; meta data; Hydra/Fedora based repository solution; VecNet digital library development; authority files; computational modeling; malaria transmission; metadata standards; vector-borne disease network digital library; Computational modeling; Diseases; Educational institutions; Libraries; Mathematical model; Standards; Taxonomy; computational modeling geospatial analysis; digital libraries; metadata; taxonomies; vocabularies;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Libraries (JCDL), 2014 IEEE/ACM Joint Conference on
Conference_Location
London
Type
conf
DOI
10.1109/JCDL.2014.6970212
Filename
6970212
Link To Document