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Framing Data Literacy. The Competence Centre for Data Literacy QUADRIGA

Authors: Seltmann, Melanie; Chlastak, Maria; Buchholz, Bettina; Lucke, Ulrike; Samoilova, Evgenia; Schimmler, Sonja;

Framing Data Literacy. The Competence Centre for Data Literacy QUADRIGA

Abstract

The Berlin-Brandenburg Competence Centre for Data Literacy QUADRIGA develops Open Educational Resources (OERs) for researchers in the fields of Digital Humanities and Public Administration based on case studies. These case studies focus on the data types text, table and moving image. Questions from the application domains of Digital Humanities and Public Administration are addressed with the support of Computer Science and Information Science. Research case studies are enhanced didactically (e.g. prepared for learners with added assessment options) and prepared as OERs, which are then tested and integrated with all four communities. Through these OERs, researchers can go through different phases of research data management and learn how to apply good research data management. QUADRIGA’s objective is to impart discipline-specific data skills to researchers at all career levels. These data skills are mapped using a QUADRIGA-specific data literacy framework, which is based on the framework for "Data Literacy Education", the "Future Skills Framework" of the Hochschulforum Digitalisierung, the EOSC-initiated "FAIR4S Framework", and the “Pilot Competency Matrix for Data Management Skills” and customized for the QUADRIGA use scenarios and domains. The framework comprises different dimensions of data literacy, such as a data flow, which includes planning, collection/reuse, enrichment/adjustment, analysis and other steps. Dimensions for data skills/knowledge and examples are also addressed. The OERs are published in the QUADRIGA Space, and the OERs can be searched in the QUADRIGA Navigator by metadata and based on the data literacy framework. After 1,5 years, nearly six comprehensive OERs are online. The QUADRIGA Navigator will go live during the annual conference in June 2025. A whole series of data competence events took place and more are already being planned. The paper shows previous results and presents the resources created in more detail.

Keywords

Open Educational Resources, OER, Data Literacy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green