FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication
21 Pág.
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Format: | artículo biblioteca |
Language: | English |
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Chinese Academy of Sciences
2023-03-08
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Subjects: | FAIR, FAIR data point, FAIR principles, Interoperability, Linked data, Metadata, Semantic interoperability, |
Online Access: | http://hdl.handle.net/10261/329453 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85150075586 |
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dig-inia-es-10261-3294532024-05-17T21:15:12Z FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication da Silva Santos, Luiz Olavo Bonino Burger, Kees Kaliyaperumal, Rajaram Wilkinson, Mark D. European Commission da Silva Santos, Luiz Olavo Bonino [0000-0002-1164-1351] Burger, K. [0000-0002-5437-779X] Kaliyaperumal, Rajaram [0000-0002-1215-167X] Wilkinson, Mark D. [0000-0001-6960-357X] FAIR FAIR data point FAIR principles Interoperability Linked data Metadata Semantic interoperability 21 Pág. Metadata, data about other digital objects, play an important role in FAIR with a direct relation to all FAIR principles. In this paper we present and discuss the FAIR Data Point (FDP), a software architecture aiming to define a common approach to publish semantically-rich and machine-actionable metadata according to the FAIR principles. We present the core components and features of the FDP, its approach to metadata provision, the criteria to evaluate whether an application adheres to the FDP specifications and the service to register, index and allow users to search for metadata content of available FDPs. Currently, LOBSS, RK and KB are partially funded from the EU's Horizon 2020 project FAIRsFAIR (grant number 831558). MDW and RK are funded via the EU's Horizon 2020 research and innovation programme under the EJP RD COFUND-EJP #825575. Peer reviewed 2023-06-22T08:44:39Z 2023-06-22T08:44:39Z 2023-03-08 artículo http://purl.org/coar/resource_type/c_6501 Data Intelligence 5(1): 163-183 (2023) 2641-435X http://hdl.handle.net/10261/329453 10.1162/dint_a_00160 http://dx.doi.org/10.13039/501100000780 2-s2.0-85150075586 https://api.elsevier.com/content/abstract/scopus_id/85150075586 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/831558 info:eu-repo/grantAgreement/EC/H2020/825575 Centro de Biotecnología y Genómica de Plantas (CBGP) Publisher's version https://doi.org/10.1162/dint_a_00160 Sí open application/pdf Chinese Academy of Sciences |
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FAIR FAIR data point FAIR principles Interoperability Linked data Metadata Semantic interoperability FAIR FAIR data point FAIR principles Interoperability Linked data Metadata Semantic interoperability |
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FAIR FAIR data point FAIR principles Interoperability Linked data Metadata Semantic interoperability FAIR FAIR data point FAIR principles Interoperability Linked data Metadata Semantic interoperability da Silva Santos, Luiz Olavo Bonino Burger, Kees Kaliyaperumal, Rajaram Wilkinson, Mark D. FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication |
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21 Pág. |
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European Commission |
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European Commission da Silva Santos, Luiz Olavo Bonino Burger, Kees Kaliyaperumal, Rajaram Wilkinson, Mark D. |
format |
artículo |
topic_facet |
FAIR FAIR data point FAIR principles Interoperability Linked data Metadata Semantic interoperability |
author |
da Silva Santos, Luiz Olavo Bonino Burger, Kees Kaliyaperumal, Rajaram Wilkinson, Mark D. |
author_sort |
da Silva Santos, Luiz Olavo Bonino |
title |
FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication |
title_short |
FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication |
title_full |
FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication |
title_fullStr |
FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication |
title_full_unstemmed |
FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication |
title_sort |
fair data point: a fair-oriented approach for metadata publication |
publisher |
Chinese Academy of Sciences |
publishDate |
2023-03-08 |
url |
http://hdl.handle.net/10261/329453 http://dx.doi.org/10.13039/501100000780 https://api.elsevier.com/content/abstract/scopus_id/85150075586 |
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