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ERIC Number: EJ1071637
Record Type: Journal
Publication Date: 2015-Sep
Pages: 7
Abstractor: As Provided
Reference Count: N/A
ISBN: N/A
ISSN: ISSN-0007-1013
A Linked Dataset of Medical Educational Resources
Dietze, Stefan; Taibi, Davide; Yu, Hong Qing; Dovrolis, Nikolas
British Journal of Educational Technology, v46 n5 p1123-1129 Sep 2015
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.
Wiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A