standards > terminology artifact > DOI:10.25504/FAIRsharing.7p0xdg

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ready Data Science Education Ontology

Abbreviation: DSEO


General Information
Simple SKOS Taxonomy denoting subfields of study in data science for use in educational applications.

Homepage http://bigdatau.org/about_erudite

No country information defined


Created in 2017

Taxonomic range




How to cite this record FAIRsharing.org: DSEO; Data Science Education Ontology; DOI: https://doi.org/10.25504/FAIRsharing.7p0xdg; Last edited: Jan. 8, 2019, 1:33 p.m.; Last accessed: Apr 20 2019 5:46 p.m.


Record added: Oct. 24, 2017, 9:41 a.m.
Record updated: Jan. 8, 2019, 1:33 p.m.




Support

No support information provided.

Additional Information

External Links


Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use





Publications

No publications available


DSEO Ontology Display

View in BioPortal.


Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.


Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Implementing Databases (1)
Educational Resource Discovery Index
ERuDIte is the educational resource discovery index that powers the BD2K Training Coordinating Center (TCC) Web Portal. ERuDIte not only serves as a resource collector and aggregator but also as a system powered by Machine Learning, Information Retrieval, and Natural Language Processing that intelligently organizes resources to provide a dynamic and personalized curriculum for biomedical researchers interested in learning about Data Science. ERuDIte provides the resource data that learners can discover on the TCC Web Portal. Over time, learners’ interactions with the TCC Web Portal will impact ERuDIte, forming a feedback cycle where both components improve each other and adapt to learners’ needs and demands. The blending of Artificial Intelligence techniques with highly targeted curation for resource discovery, retrieval, personalization, and organization distinguishes ERuDIte from MOOC aggregators and other resource collection initiatives.

Implementing Policies

This record is not implemented by any policy.


Credit

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