Work

Teaching and Learning Data Citation

Year: 2026

Type: article

Abstract: This is a presentation given by Mietta Lennes (University of Helsinki) at the CLARIN in University Curricula Workshop, held in Utrecht on 21–22 April 2026.In addition to traditional bibliographic references, researchers need to provide persistent identifiers for their data to ensure their studies can be verified and replicated. To ensure that good data citation practices are more widely established, this topic should be part of academic curricula. CLARIN Data Citation Guidelines provide the technical recommendations for constructing data citations. For teachers and students, CLARIN could offer some practical examples on how to cite data.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20346538

Author: Lennes, Mietta

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funder: Common Language Resources and Technology Infrastructure

OpenAlex ID: W7162117663

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