The Linked Education Cloud is a repository/catalogue of Web datasets relevant to educational applications. It is provided according to the standard of the Web of Data, and is constructed based on input from the LinkedUp Community. It is especially meant to support participants to the LinkedUp Challenge, including in particular the two focused tracks of the current Vici Competition (see below).Browse The Data
This focused track looks for applications that provide a (partial or complete) solution for common problems in implementing technology-enhanced learning in developing countries, making use of Linked Data. Below are some example datasets that can serve either as a data source or as a reference model for producing new datasets.ARIADNE – A collection of learning objects and their meta-level descriptions in Linked Data form, contributed by numerous knowledge sharing efforts such as OER Africa. Their datamodel can be a reference schema for building autonomous learning resources in scarcely connected environments.
education.data.gov.uk – Geographical and infrastructural linked data about schools, nurseries and universities in the United Kingdom.
OpenCourseware – RDF metadata describing courses and related learning materials from numerous providers worldwide.
Organic Edunet – A portal of learning objects encompassing topics of interest in the developing world such as organic agriculture and agroecology.
SEEK ICT Tools for Education – Descriptions of software tools relevant for the educational domain, with specific indication of what tasks, educational and beyond, are addressed by each tool.
TERENCE Reading Comprehension Dataset – A Linked Data resource for reasoning tasks and therapy plans for facilitating reading comprehension to children with reading impairments. It is an example of support to education in environments with limitations to text comprehension.
The following open data are currently available in formats other than Linked Data.
Commonwealth of Learning – Peer-reviewed repository of Open Educational Resources.
TESS-India Learning Materials – A project for improving and monitoring teacher education in India. Initial learning units are in English, with a prospect for further learning units in local languages.
The Vici Competition Targeted Content Track involves enhancing journal article content along with related research statistics and datasets to assist in discovery, learning and interpretation of disparate content and data. At the core of this track is the Water Resources & Industry Open Access journal.
The following data are available in various formats, but will also be made available as Linked Data.
Water Footprint Datasets (XLS):
Water Footprint Report (PDF):
Water Resources & Ecology corpus (RDF/XML):
The main entry point to the Linked Education Cloud is the Datahub Catalogue which registers all collected data endpoints using the CKAN framework. All datasets included have a SPARQL endpoint associated, and follow the principles of Linked Data.
Information about the datasets included in the collected endpoints is extracted from them and represented using the VoID vocabulary and made available through a SPARQL Endpoint. Additional information connecting and classifying the datasets is also included, facilitating the joint use.
Understanding what can be done with Web Data for education and how to apply linked data technologies is critical to the development of the area. LinkedUp DevTalk is a set of bit-size resources, how-tos and examples for developers of Web Data applications in education.