Schreier, Gero (29 September 2023). Raising Awareness for Data FAIRness. An Approach to Developing FAIR Data Literacy in Engineering Sciences Undergraduate Courses. In: NFDI4Ing Conference 2023. Zenodo 10.5281/zenodo.8391880
This talk models the FAIR data principles into teaching scenarios as a contribution to data literacy for undergraduate students. An ideal vehicle are database training sessions offered by course instructors or library staff to undergraduates because such courses have long been helping students develop information literacy. This skill of critically reflecting on information-seeking behavior and the use of information to create new knowledge can be expanded and adapted to introduce students to FAIR-compliant research data management. By working with databases in a supervised environment, students learn to interact with structured collections of data and to manage and process their results for later reuse. The FAIR Principles are particularly useful for distinguishing well-curated and standards-compliant data collections from websites without a clear curation policy.
Item Type: |
Conference or Workshop Item (Speech) |
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Division/Institute: |
?? DCD5A442C32AE17DE0405C82790C4DE2 ?? 13 Central Units > Administrative Director's Office > University Library of Bern > University Library of Bern, Operations > Service Center Open Science 13 Central Units > Administrative Director's Office > University Library of Bern |
UniBE Contributor: |
Schreier, Gero |
Subjects: |
000 Computer science, knowledge & systems > 020 Library & information sciences |
Publisher: |
Zenodo |
Language: |
English |
Submitter: |
Gero Trudpert Schreier |
Date Deposited: |
29 Sep 2023 15:56 |
Last Modified: |
29 Sep 2023 15:56 |
Publisher DOI: |
10.5281/zenodo.8391880 |
Related URLs: |
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Uncontrolled Keywords: |
FAIR data principles; data literacy; information literacy; database training |
URI: |
https://boris.unibe.ch/id/eprint/186807 |
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