媒介传播疾病网络数字图书馆

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries Pub Date : 2014-09-08 DOI:10.1109/JCDL.2014.6970212

M. Barker, Donald Brower, N. Meyers

{"title":"媒介传播疾病网络数字图书馆","authors":"M. Barker, Donald Brower, N. Meyers","doi":"10.1109/JCDL.2014.6970212","DOIUrl":null,"url":null,"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.","PeriodicalId":92278,"journal":{"name":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","volume":"17 1","pages":"435-436"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Vector-Borne Disease Network digital library\",\"authors\":\"M. Barker, Donald Brower, N. Meyers\",\"doi\":\"10.1109/JCDL.2014.6970212\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":92278,\"journal\":{\"name\":\"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries\",\"volume\":\"17 1\",\"pages\":\"435-436\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/JCDL.2014.6970212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/JCDL.2014.6970212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

传播疾病网络(VecNet)的数字图书馆提供了一个共同分析框架的一部分，用于收集有关疟疾传播的数据，并使其可用于计算建模。这篇海报报告了VecNet数字图书馆的发展、与元数据标准、设计、元数据的核心作用和权威文件在其体系结构中的作用，以及这个基于Hydra/Fedora的存储库解决方案的未来方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Vector-Borne Disease Network digital library

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Proceedings of the ... ACM/IEEE Joint Conference on Digital Libraries. ACM/IEEE Joint Conference on Digital Libraries

自引率

0.00%

发文量