A first metadata schema for learning analytics research data management

In most cases, research data builds the ground for scientific work and to gain new knowledge. Learning analytics is the science to improve learning in different fields of the educational sector. Even though it is a data-driven science, there is no research data management culture or concepts yet. A...

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Detalles Bibliográficos
Autores principales:	Ian Wolff, David Broneske, Veit Köppen
Formato:	article
Lenguaje:	DE EN
Publicado:	Verein Deutscher Bibliothekarinnen und Bibliothekare (VDB) 2021
Materias:	Metadata Learening analytics Research data management Bibliography. Library science. Information resources Z
Acceso en línea:	https://doaj.org/article/fb6da0fc300d47a78d4af40026aafdba
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id	oai:doaj.org-article:fb6da0fc300d47a78d4af40026aafdba
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spelling	oai:doaj.org-article:fb6da0fc300d47a78d4af40026aafdba2021-12-01T12:45:22ZA first metadata schema for learning analytics research data management10.5282/o-bib/57352363-9814https://doaj.org/article/fb6da0fc300d47a78d4af40026aafdba2021-11-01T00:00:00Zhttps://www.o-bib.de/bib/article/view/5735https://doaj.org/toc/2363-9814 In most cases, research data builds the ground for scientific work and to gain new knowledge. Learning analytics is the science to improve learning in different fields of the educational sector. Even though it is a data-driven science, there is no research data management culture or concepts yet. As every research discipline, learning analytics has its own characteristics, which are important for the creation of research data management concepts, in particular for generalization of data and modeling of a metadata model. The following work presents our results of a requirements analysis for learning analytics, in order to identify relevant elements for a metadata schema. To reach this goal, we conducted a literature survey followed by an analysis of our own research about frameworks for evaluation of collaborative programming scenarios from two universities. With these results, we present a discipline-specific scientific workflow, as well as a subject-specific object model, which lists all required characteristics for the development of a learning analytics specific metadata model for data repository usage. Ian WolffDavid BroneskeVeit KöppenVerein Deutscher Bibliothekarinnen und Bibliothekare (VDB)articleMetadataLearening analyticsResearch data managementBibliography. Library science. Information resourcesZDEENo-bib. Das offene Bibliotheksjournal, Vol 8, Iss 4 (2021)
institution	DOAJ
collection	DOAJ
language	DE EN
topic	Metadata Learening analytics Research data management Bibliography. Library science. Information resources Z
spellingShingle	Metadata Learening analytics Research data management Bibliography. Library science. Information resources Z Ian Wolff David Broneske Veit Köppen A first metadata schema for learning analytics research data management
description	In most cases, research data builds the ground for scientific work and to gain new knowledge. Learning analytics is the science to improve learning in different fields of the educational sector. Even though it is a data-driven science, there is no research data management culture or concepts yet. As every research discipline, learning analytics has its own characteristics, which are important for the creation of research data management concepts, in particular for generalization of data and modeling of a metadata model. The following work presents our results of a requirements analysis for learning analytics, in order to identify relevant elements for a metadata schema. To reach this goal, we conducted a literature survey followed by an analysis of our own research about frameworks for evaluation of collaborative programming scenarios from two universities. With these results, we present a discipline-specific scientific workflow, as well as a subject-specific object model, which lists all required characteristics for the development of a learning analytics specific metadata model for data repository usage.
format	article
author	Ian Wolff David Broneske Veit Köppen
author_facet	Ian Wolff David Broneske Veit Köppen
author_sort	Ian Wolff
title	A first metadata schema for learning analytics research data management
title_short	A first metadata schema for learning analytics research data management
title_full	A first metadata schema for learning analytics research data management
title_fullStr	A first metadata schema for learning analytics research data management
title_full_unstemmed	A first metadata schema for learning analytics research data management
title_sort	first metadata schema for learning analytics research data management
publisher	Verein Deutscher Bibliothekarinnen und Bibliothekare (VDB)
publishDate	2021
url	https://doaj.org/article/fb6da0fc300d47a78d4af40026aafdba
work_keys_str_mv	AT ianwolff afirstmetadataschemaforlearninganalyticsresearchdatamanagement AT davidbroneske afirstmetadataschemaforlearninganalyticsresearchdatamanagement AT veitkoppen afirstmetadataschemaforlearninganalyticsresearchdatamanagement AT ianwolff firstmetadataschemaforlearninganalyticsresearchdatamanagement AT davidbroneske firstmetadataschemaforlearninganalyticsresearchdatamanagement AT veitkoppen firstmetadataschemaforlearninganalyticsresearchdatamanagement
_version_	1718405212643786752

A first metadata schema for learning analytics research data management

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