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DataStaR: a data sharing and publication infrastructure to support research. (Special Issue: Repositories.)

机译:DataStaR:数据共享和发布基础设施,以支持研究。问题:存储库)。

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DataStaR, a Data Staging Repository (http://datastar.mannlib.cornell.edu/) in development at Cornell University's Albert R. Mann Library (Ithaca, New York USA), is intended to support collaboration and data sharing among researchers during the research process, and to promote publishing or archiving data and high-quality metadata to discipline-specific data centers and/or institutional repositories. Researchers may store and share data with selected colleagues, select a repository for data publication, create high quality metadata in the formats required by external repositories and Cornell's institutional repository, and obtain help from data librarians with any of these tasks. To facilitate cross-domain interoperability and flexibility in metadata management, we employ semantic web technologies as part of DataStaR's metadata infrastructure. This paper describes the overall design of the system, the work to date with Cornell researchers and their data sets, and possibilities for extending DataStaR for use in international agriculture research.
机译:DataStaR,数据暂存库(http://datastar.mannlib.cornell.edu/)在开发康奈尔大学的阿尔伯特·R。曼库(美国纽约伊萨卡岛),目的是支持协作和之间的数据共享研究人员在研究过程中,促进出版或归档数据和高质量的元数据来建立学科数据中心和/或机构库。研究人员可能存储和共享数据所选的同事,为数据选择一个库出版,创建高质量的元数据外部存储库和要求的格式康奈尔大学的机构库,获得帮助图书馆员与这些数据任务。在元数据的互操作性和灵活性管理,我们使用语义web技术作为DataStaR的元数据基础设施的一部分。介绍了整体的设计系统,到目前为止与康奈尔大学研究人员的工作和他们的数据集,和可能性延长DataStaR在国际使用农业研究。

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