Resource Description Framework

Data Catalog Vocabulary

Data Catalog Vocabulary (DCAT) is an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web. By using DCAT to describe datasets in catalogs, publishers increase discoverability and enable applications to consume metadata from multiple catalogs. It enables decentralized publishing of catalogs and facilitates federated dataset search across catalogs. Aggregated DCAT metadata can serve as a manifest file to facilitate digital preservation. The original DCAT vocabulary was developed at DERI, as an idea from Vassilios Peristeras and his master student Fadi Maali together also with Richard Cyganiak. The vocabulary was further developed by W3C's eGov Interest Group, then brought onto the Recommendation Track by W3C's "Government Linked Data" Working Group. DCAT is the foundation for open dataset descriptions in the European Union public sector and was adapted by the ISA programme of the European Commission. DCAT v2 was published as a W3C Recommendation 2020-02-04. Version 2 adds support for cataloguing data services or APIs, and has stronger support for expressing relationships between datasets. An alignment to Schema.org is included. As DCAT is extensible, more specific extensions have been created in the statistical and geodata domains. An open-source licensed porting of the version DCAT-AP 2.0.1 compatible with NGSI-LD API standard is available in the DCAT-AP subject at Smart Data Models program. (Wikipedia).

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From playlist Intro to Data Science

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From playlist Data Science

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From playlist Statistics

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This video introduces data visualization as a tool for exploring and communicating with data. Bing Brunton's website: www.bingbrunton.com

From playlist Intro to Data Science

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From playlist Data Science

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From playlist Talks

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From playlist Introduction to R

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From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom

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From playlist Strata Conference 2013 (Santa Clara, CA)

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From playlist Data Science

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From playlist Culture in Crisis II

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From playlist Documentation mathématique

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From playlist Ace Your Data Science Interview

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From playlist O'Reilly Webcasts 2

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From playlist TensorFlow 2.0 Beginner Tutorials

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From playlist Women in Data Science Conference (WiDS) 2017

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From playlist Women in Data Science (WiDS)

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From playlist Data structures

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Resource Description Framework | Statistics