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Reviewing the discoverability and accessibility to data and information products linked to Essential Climate Variables

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International Journal of Digital Earth 2020年第2期13卷 236-252页

作者： Maria Teresa Miranda Espinosa Gregory Giuliani Nicolas Ray Institute for Environmental Sciences enviroSPACE labUniversity of GenevaGenevaSwitzerland Institute for Environmental Sciences GRID-GenevaUniversity of GenevaGenevaSwitzerland GeoHealth Group Institute of Global HealthFaculty of MedicineUniversity of GenevaGenevaSwitzerland'

Essential Climate Variables(ECVs)are geophysical records generated from systematic Earth Observations associated with climate variations,changes,and *** products support the data and information needs of international frameworks and policies such as the work of the United Nations Framework Convention on Climate Change(UNFCCC)and the Intergovernmental Panel on Climate Change(IPCC).We map the main networks and initiatives publishing ECVs,by presenting an overview of existing satellite-based ECVs,their general data creation characteristics,discoverability and accessibility methods from an end-user *** investigate key initiatives providing or coordinating access to ECV data records,such as the Global Climate Observing System(GCOS),the Committee on Earth Observation Satellites(CEOS),the Coordination Group for Meteorological Satellites(CGMS),Joint Working Group on Climate(WGClimate),the Remote Sensing Systems(REMSS),and the European Space Agency Climate Change Initiative(ESA CCI).We find that ECV data discovery and access is difficult and time consuming due to the lack of common data and metadata *** addition,the selection of fit-for-purpose data records by end-users requires the implementation of interoperable standards and scalable data infrastructures to allow the generation of tailored applications and datadriven information products in support of decision-making processes.

关键词： Essential Climate Variables Climate services discoverability accessibility usability

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The W3C Data Catalog Vocabulary,Version 2:Rationale,Design Principles,and Uptake

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Data Intelligence 2024年第2期6卷 457-487页

作者： Riccardo Albertoni David Browning Simon Cox Alejandra N.Gonzalez-Beltran Andrea Perego Peter Winstanley Istituto di Matematica Applicata e Tecnologie Informatiche"Enrico Magenes" Consiglio Nazionale delle Ricerche(IMATI-CNR)GenoaItaly Independent Consultant United Kingdom LandandWater CSiROMelbourneAustralia Scientific Computing Rutherford Appleton LaboratoryScience and Technology Facilities CouncilHarwell Cam-pusOx110QXUnited Kingdom European Parliament Luxembourg Semantic Arts Fort CollinsCO80524USA

DCAT is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the *** its first release in 2014 as a W3C Recommendation,DCAT has seen a wide adoption across communities and domains,particularly in conjunction with implementing the FAIR data principles(forfindable,accessible,interoperable and reusable data).These implementation experiences,besides demonstrating the fitness of DCAT to meet its intended purpose,helped identify existing issues and ***,over the last few years,additional requirements emerged in data catalogs,given the increasing practice of documenting not only datasets but also data services and *** paper illustrates the new version of DCAT,explaining the rationale behind its main revisions and extensions,based on the collected use cases and requirements,and outlines the issues yet to be addressed in future versions of DCAT.

关键词： Data Catalogs Interoperability discoverability FAIR data

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