A linked dataset of medical educational resources

Dietze, Stefan; Taibi, Davide; Yu, Hong Qing; Dovrolis, Nikolas

dc.contributor.author	Dietze, Stefan	en
dc.contributor.author	Taibi, Davide	en
dc.contributor.author	Yu, Hong Qing	en
dc.contributor.author	Dovrolis, Nikolas	en
dc.date.accessioned	2018-11-30T12:46:47Z
dc.date.available	2018-11-30T12:46:47Z
dc.date.issued	2015-04-06
dc.identifier.citation	Dietze S, Taibi D, Yu H Q, Dovrolis N (2015) 'A linked dataset of medical educational resources', British Journal of Educational Technology, 46 (5), pp.899-1129.	en
dc.identifier.issn	0007-1013
dc.identifier.doi	10.1111/bjet.12276
dc.identifier.uri	http://hdl.handle.net/10547/623028
dc.description.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.
dc.language.iso	en	en
dc.publisher	British Educational Research Association	en
dc.relation.url	https://onlinelibrary.wiley.com/doi/full/10.1111/bjet.12276	en
dc.rights	Yellow - can archive pre-print (ie pre-refereeing)
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	medical education	en
dc.subject	A900 Others in Medicine and Dentistry	en
dc.title	A linked dataset of medical educational resources	en
dc.type	Article	en
dc.identifier.journal	British Journal of Educational Technology	en
dc.date.updated	2018-11-30T12:31:01Z
dc.description.note	full text from CORE
html.description.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.