Abstract
The movement to share data has been on the rise in the last decade and lately in the agricultural domain. Similarly platforms for publishing scientific and statistical datasets have sprouted and have improved visibility and availability of datasets. Yet there are still constraints in making datasets discoverable and re-usable. Commonly agreed semantics, authority lists to index datasets and standard formats and protocols to expose data are now essential. This paper explains how the CIARD RING provides a global linked data catalog of datasets for agriculture. The first part of this paper will describe the Linked Data layer of the CIARD RING focusing on the data model, semantics used and the CIARD RING LOD publication. The second part will provide examples of re-use of data from the RING. The paper concludes by describing the future steps in the development of the CIARD RING.
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References
Chinese Academy of Agricultural Sciences, Global Forum on Agricultural Research, Food and Agriculture Organization of the United Nations: Interim Proceedings of International Expert Consultation on “Building the CIARD Framework for Data and Information Sharing”, CIARD (2011)
Ballantyne, P.: ICTs transforming agricultural science, research and technology generation. In: Summary of the ICT Workshop at the Science Forum. GFAR (2009)
Crosas, M.: The Dataverse Network: An Open-Source Application for Sharing, Discovering and Preserving Data. D-Lib. Magazine 17(1/2) (2011)
OpenAIRE Guidelines: For Data Archives. https://guidelines.openaire.eu/wiki/OpenAIRE_Guidelines:_For_Data_Archives
Vierkant, P., Spier, S., Rücknagel, J., Gundlach, J., Fichtmüller, D., Pampel, H., Kindling, M., Kirchhoff, A., Göbelbecker, H., Klump, J., Bertelmann, R., Schirmbacher, P., Scholze, F.: Vocabulary for the Registration and Description of Research Data Repositories Version 2.0, re3data (2012)
Dryad Development Team: Dryad Metadata Application Profile, Version 3.0 (2010). http://wiki.datadryad.org/wg/dryad/images/8/8b/Dryad3.0.pdf
Ginty, K., Kerridge, S., Fairley, P., Henderson, R., Cranner, P., Bokma, A., Garfield, S.: CERIF for Datasets (C4D) – An Overview, C4D (2012)
Khan, H., Caruso, B., Corson-Rikert, J., Dietrich, D., Lowe, B., Steinhart, G.: DataStaR: Using the Semantic Web approach for Data Curation. The International Journal of Digital Curation 6(2) (2011)
Berners-Lee, T.: Linked Data. http://www.w3.org/DesignIssues/LinkedData
Isaac, A., Waites, W., Young, J., Zeng, M.: Library Linked Data Incubator Group: Datasets, Value Vocabularies, and Metadata Element Sets. W3C (2011)
DCAT Application Profile for Data Portals in Europe – Final, ISA Programme (2013)
Heath, T., Bizer, C.: Linked data: evolving the web into a global data space. In: Synthesis Lectures on the Semantic Web. Theory and Technology, 1:1, pp. 1–136. Morgan & Claypool (2011)
Best Practices for Publishing Linked Data, W3C (2014). http://www.w3.org/TR/ld-bp/
Archer, P., Goedertier, S., Loutas, N.: Study on persistent URIs, with identification of best practices and recommendations on the topic for the MSs and the EC. ISA Programme (2012). http://philarcher.org/diary/2013/uripersistence/
SPARQL Query Language for RDF, W3C (2007). http://www.w3.org/TR/rdf-sparql-query/
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Pesce, V., Maru, A., Archer, P., Malapela, T., Keizer, J. (2015). Setting up a Global Linked Data Catalog of Datasets for Agriculture. In: Garoufallou, E., Hartley, R., Gaitanou, P. (eds) Metadata and Semantics Research. MTSR 2015. Communications in Computer and Information Science, vol 544. Springer, Cham. https://doi.org/10.1007/978-3-319-24129-6_31
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DOI: https://doi.org/10.1007/978-3-319-24129-6_31
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