ODIN: the ORCID and DataCite interoperability network

M. Fenner, Laurel L. Haak, Gudmundur A. Thorisson, Sergio Ruiz, T. Vision, Jan Brase
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引用次数: 7

Abstract

Research data is increasingly seen as the most significant untapped resource in scholarship. Awareness and practice of referencing and citing research data is increasing, and different initiatives to unambiguously identify datasets are in place. Steps are being taken to identify the individuals who created or contributed to research outputs. Lack of interoperability between the different initiatives to identify datasets and contributors remains a major hurdle. The ODIN project (ORCID and DataCite Interoperability Network) tries to address this need. ODIN builds on the ORCID and DataCite initiatives to uniquely identify scientists and data sets and connect this information across multiple services and infrastructures. It aims to address some of the critical open questions in the area. We describe a conceptual model to solve the interoperability between different identifiers for data and people.
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ODIN: ORCID和DataCite互操作性网络
研究数据越来越被视为学术界最重要的未开发资源。参考和引用研究数据的意识和实践正在增加,明确识别数据集的不同举措已经到位。正在采取步骤确定创造或贡献研究成果的个人。在识别数据集和贡献者的不同举措之间缺乏互操作性仍然是一个主要障碍。ODIN项目(ORCID和DataCite互操作性网络)试图解决这一需求。ODIN建立在ORCID和DataCite计划的基础上,可以唯一地识别科学家和数据集,并将这些信息跨多个服务和基础设施连接起来。它旨在解决该领域一些关键的开放性问题。我们描述了一个概念模型来解决数据和人的不同标识符之间的互操作性。
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