Towards data literacy in higher education

DOI

This dataset contains the survey instruments used in the research project Towards Data Literacy in Higher Education (Rotterdam University of Applied Sciences, 2022). The survey instruments were informed by the frameworks and the underlying theories proposed by Calzado Prado and Marzal (2013) and Maybee and Zilinski (2015). The purpose of the surveys was to measure the perceived level of data literacy among students and lecturers within the business programmes of a university of applied sciences. The questionnaires operationalise data literacy across six core competencies—awareness, access, engagement, management, communication, and use—based on established academic frameworks.

The dataset includes the full item lists, Likert-scale response structures, and demographic questions used to collect the data. These instruments were employed to assess the current state of data literacy, identify variations across programmes and cohorts, and explore potential gaps between educational offerings and labour-market needs.

The survey tools can be reused or adapted by researchers, educators, and policymakers interested in evaluating data literacy, monitoring curriculum development, or designing interventions to strengthen data-related competencies in higher education.

Identifier
DOI https://doi.org/10.34894/UKM2EV
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/UKM2EV
Provenance
Creator Alfons Looman; Shengyun Yang ORCID logo; Leo Klienbannink
Publisher DataverseNL
Contributor Shengyun (Annie) Yang; Alfons Looman
Publication Year 2025
Funding Reference KIEM SIA NWO
Rights CC-BY-NC-SA-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-sa/4.0
OpenAccess true
Contact Shengyun (Annie) Yang (Rotterdam University of Applied Sciences); Alfons Looman (Rotterdam University of Applied Sciences)
Representation
Resource Type Dataset
Format text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/vnd.oasis.opendocument.text; application/pdf
Size 5287; 10579; 6569; 10660; 10045; 42171
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences