Adapting RDMO for the Efficient Management of Educational Research Data
| dc.contributor.author | Kiesler, Natalie | |
| dc.contributor.author | Schiffner, Daniel | |
| dc.contributor.author | Nieder-Vahrenholz, Axel | |
| dc.contributor.editor | Röpke, René | |
| dc.contributor.editor | Schroeder, Ulrik | |
| dc.date.accessioned | 2023-08-30T09:09:38Z | |
| dc.date.available | 2023-08-30T09:09:38Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Research data management has become a core element of research projects in educational technology research. Tools like the Research Data Management Organiser (RDMO) offer support to researchers by gathering metadata of (planned) projects, studies and their output in a structured manner. It further facilitates machine actionable components so that metadata and information can be exchanged by connecting metadata, repositories, and institutions. In this demo, we present a use case of RDMO at a German research data center. Therein, we adapt RDMO’s export plugin so that it generates JSON in the data structure of the German Network of Educational Research Data, and thus allows the export of metadata from RDMO to research data centers. This proof-of-concept thus presents an application scenario of RDMO, and how it can contribute to an improved data management process in educational technology research. | en |
| dc.identifier.doi | 10.18420/delfi2023-51 | |
| dc.identifier.isbn | 978-3-88579-732-6 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/42213 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | 21. Fachtagung Bildungstechnologien (DELFI) | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-322 | |
| dc.subject | Research Data Management Organiser | |
| dc.subject | metadata | |
| dc.subject | export | |
| dc.subject | interoperability | |
| dc.title | Adapting RDMO for the Efficient Management of Educational Research Data | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 272 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 271 | |
| gi.conference.date | 11.-13. September 2023 | |
| gi.conference.location | Aachen | |
| gi.conference.review | full | |
| gi.conference.sessiontitle | Demobeiträge |
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