Paper Info
Title
A Linked Dataset of medical educational resources
Abstract
Reusable educational resources became increasingly important for enhancing learning and teaching experiences, particularly in the medical domain where resources are particularly expensive to produce. While interoperability across educational resources metadata repositories is yet limited to the heterogeneity of metadata standards and interface mechanisms with a lack of shared or aligned controlled vocabularies, Linked Data (LD) principles, based on W3C standards and supported through a wide range of tools, open up opportunities to alleviate such problems. We introduce the mEducator Linked Educational Resources dataset, which offers a range of open educational resources for the medical domain, exposed through LD principles. Data have been generated through a combination of manual curation and semi-automated harvesting techniques, and state-of-the-art enrichment and clustering techniques were deployed in order to classify and categorize data, toward improved reusability and access. Data are currently used by a range of educational applications and is accessible for third parties and developers, for instance through the LinkedUp Catalog and other registries, to facilitate further take-up and applications.
Year
DOI
Venue
2015
10.1111/bjet.12276
BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY
Field
DocType
Volume
Metadata,Data collection,World Wide Web,Interoperability,Computer science,Usability,Linked data,Controlled vocabulary,Open educational resources,Cluster analysis
Journal
46.0
Issue
ISSN
Citations 
SP5.0
0007-1013
2
PageRank 
References 
Authors
0.38
12
4
Name
Order
Citations
PageRank
Stefan Dietze159768.07
Davide Taibi253160.70
Hong Qing Yu323716.94
Nikolas Dovrolis4524.92