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From Receiving to Characterizing: Improving Training Strategies for Research Data/Software Management by another domain!

dc.contributor.authorBernoth, Jan
dc.contributor.authorRiedel, Christian
dc.contributor.authorWiepke, Axel
dc.contributor.authorLaban, Firas Al
dc.contributor.editorSchulz, Sandra
dc.contributor.editorKiesler, Natalie
dc.date.accessioned2024-09-03T16:26:18Z
dc.date.available2024-09-03T16:26:18Z
dc.date.issued2024
dc.description.abstractConstructing learning objectives for Research Data and Software Management (RDSM) primarily focuses on the cognitive domain of Bloom’s taxonomy. However, surveys exploring why RDSM is not fully implemented across all research fields have revealed that the issue extends beyond a mere lack of knowledge. It appears that researchers also lack inner conviction and are not open to RDSM practices. To address this, we aim to initiate a discussion through this position paper on incorporating another dimension of Bloom’s Taxonomy into training competencies: the affective domain. Considering emotional factors might help persuade individuals to receive and respond to information more effectively. By integrating the affective domain, we suggest that a shift in learning strategies and activities from purely cognitive objectives in RDSM could be beneficial.en
dc.identifier.doi10.18420/delfi2024_25
dc.identifier.eissn2944-7682
dc.identifier.issn2944-7682
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44507
dc.language.isoen
dc.pubPlaceBonn
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofProceedings of DELFI 2024
dc.relation.ispartofseriesDELFI
dc.subjectResearch Data Management
dc.subjectResearch Software Management
dc.subjectLearning Objectives
dc.subjectBloom’s Taxonomy
dc.titleFrom Receiving to Characterizing: Improving Training Strategies for Research Data/Software Management by another domain!en
dc.typeText/Position paper
mci.conference.date09.-11. September 2024
mci.conference.locationFulda
mci.conference.sessiontitleOpen Science und OER
mci.document.qualitydigidoc
mci.reference.pages281-287

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