Connected Research: The Potential of the PID Graph.

Connected Research: The Potential of the PID Graph.
复制标题

DOI:
10.1016/j.patter.2020.100180
复制
发表时间:
2021-01-08
期刊:
Patterns (New York, N.Y.)
影响因子:
--
通讯作者:
Lambert S
Lambert S
中科院分区:
其他
文献类型:
--
作者:
Cousijn H;Braukmann R;Fenner M;Ferguson C;van Horik R;Lammey R;Meadows A;Lambert S

文献摘要

参考文献

被引文献

相似文献

持久标识符(PID)为实体提供唯一且持久的引用。它们能够随着时间的推移持续进行唯一标识,因此在支持FAIR(可查找、可扩展、可互操作、可重用)原则方面发挥着至关重要的作用。在本文中,我们描述了如何通过元数据连接PID来放大PID的优势。我们将介绍PID基础设施的下一步:PID图。PID Graph在研究领域内的不同实体之间建立联系,从而使研究人员和机构能够访问新信息。本文最后提出了三项建议,这将有助于优化PID在研究生态系统中的使用和价值。PID为实体提供了独特而持久的参考,并在研究基础设施中发挥着至关重要的作用。它们能够随着时间的推移持续进行唯一标识,并有助于使研究实体更加公平(可查找,可扩展,可互操作和可重用)。PID的好处可以通过它们的元数据连接它们来放大。因此,我们将介绍PID基础设施的下一步:PID Graph。PID Graph在研究领域内的不同实体之间建立联系,从而使研究人员和机构能够访问新信息。通过PID Graph,基础设施已经到位,可以回答有关研究世界内部联系的新问题。但是,只有在PID图中存在足够的信息时,这些才会有有意义的答案。因此,本文最后为不同的利益相关者提出了三项建议,这将有助于优化研究生态系统中PID的使用和价值。持久标识符(PID)为实体提供唯一且持久的引用。它们能够随着时间的推移持续进行唯一标识,并在支持FAIR原则方面发挥着至关重要的作用。在本文中,我们描述了如何通过元数据连接PID来放大PID的优势。我们将介绍PID基础设施的下一步:PID图。PID Graph在研究领域内的不同实体之间建立联系,从而使研究人员和机构能够访问新信息。
Persistent identifiers (PIDs) provide unique and long-lasting references to entities. They enable unique identification persistently over time and hence play a crucial role in supporting the FAIR (Findable, Accessible, Interoperable, Reusable) principles. In this paper, we describe how the benefits of PIDs can be amplified by connecting them via their metadata. We are introducing the next step in PID infrastructure: the PID Graph. The PID Graph establishes connections between different entities within the research landscape, thereby enabling both researchers and institutions to access new information. The paper closes with three recommendations, which will help to optimize the use and value of PIDs within the research ecosystem. PIDs provide unique and long-lasting references to entities and play a crucial role in research infrastructure. They enable unique identification persistently over time and contribute to making research entities more FAIR (Findable, Accessible, Interoperable, and Reusable). The benefits of PIDs can be amplified by connecting them via their metadata. Therefore, we are introducing the next step in PID infrastructure: the PID Graph. The PID Graph establishes connections between different entities within the research landscape, thereby enabling researchers and institutions to access new information. Through the PID Graph, the infrastructure is in place to answer new questions about connections within the research world. However, these will only have meaningful answers if sufficient information is present within the PID Graph. Therefore, the paper closes with three recommendations for different stakeholders, which will help to optimize the use and value of PIDs within the research ecosystem. Persistent identifiers (PIDs) provide unique and long-lasting references to entities. They enable unique identification persistently over time and play a crucial role in supporting the FAIR principles. In this paper, we describe how the benefits of PIDs can be amplified by connecting them via their metadata. We are introducing the next step in PID infrastructure: the PID Graph. The PID Graph establishes connections between different entities within the research landscape, thereby enabling both researchers and institutions to access new information.
DOI: 10.1016/j.patter.2020.100058
发表时间: 2020-08-14
期刊: Patterns (New York, N.Y.)
影响因子: --
作者:
Koers H;Bangert D;Hermans E;van Horik R;de Jong M;Mokrane M
通讯作者: Mokrane M
DOI: 10.3390/publications8020021
发表时间: 2020-06-01
期刊: PUBLICATIONS
影响因子: 5.2
作者:
De Smedt, Koenraad;Koureas, Dimitris;Wittenburg, Peter
通讯作者: Wittenburg, Peter
DOI: 10.1038/sdata.2018.118
发表时间: 2018-06-26
期刊: SCIENTIFIC DATA
影响因子: 9.8
作者:
Wilkinson, Mark D.;Sansone, Susanna-Assunta;Dumontier, Michel
通讯作者: Dumontier, Michel
DOI: 10.1038/sdata.2016.18
发表时间: 2016-03-15
期刊: Scientific data
影响因子: 9.8
作者:
Wilkinson MD;Dumontier M;Aalbersberg IJ;Appleton G;Axton M;Baak A;Blomberg N;Boiten JW;da Silva Santos LB;Bourne PE;Bouwman J;Brookes AJ;Clark T;Crosas M;Dillo I;Dumon O;Edmunds S;Evelo CT;Finkers R;Gonzalez-Beltran A;Gray AJ;Groth P;Goble C;Grethe JS;Heringa J;'t Hoen PA;Hooft R;Kuhn T;Kok R;Kok J;Lusher SJ;Martone ME;Mons A;Packer AL;Persson B;Rocca-Serra P;Roos M;van Schaik R;Sansone SA;Schultes E;Sengstag T;Slater T;Strawn G;Swertz MA;Thompson M;van der Lei J;van Mulligen E;Velterop J;Waagmeester A;Wittenburg P;Wolstencroft K;Zhao J;Mons B
通讯作者: Mons B
DOI: 10.1162/dint_a_00030
发表时间: 2020-12-01
期刊: DATA INTELLIGENCE
影响因子: 3.9
作者:
Groth, Paul;Cousijn, Helena;Goble, Carole
通讯作者: Goble, Carole