Data literacy as a compound competence

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

Data literacy can be defined as a compound competence consisting of some level of competence in statistics, data visualization and more generic competencies in problem-solving using different data. Data literacy is closely related to data science but differs in the level of competence. While data science is a specific domain for trained specialists, data literacy is suggested as a central element in education preparing all young people to become citizens in an information society. In presenting two exemplars of resources and practices that both rely on and foster the attainment of data literacy it is proposed that data literacy is best defined as a compound competence that first and foremost can be ascribed to a community of practice rather than the single individual. The definition, therefore, calls for new and further interdisciplinary collaboration that integrates different competencies and levels of skill.
Original languageEnglish
Title of host publicationDigital Science : DSIC18: The 2018 International Conference on Digital Science
Number of pages8
Place of publicationCham
PublisherSpringer
Publication year19 Oct 2018
Pages166-173
ISBN (Electronic)978-3-030-02351-5
DOIs
Publication statusPublished - 19 Oct 2018
EventThe 2018 International Conference on Digital Science - Hotel Splendid, Budva, Montenegro
Duration: 19 Oct 201821 Oct 2018
https://digscience.org

Conference

ConferenceThe 2018 International Conference on Digital Science
LocationHotel Splendid
LandMontenegro
ByBudva
Periode19/10/201821/10/2018
Internetadresse
SeriesAdvances in Intelligent Systems and Computing
Volume850
ISSN2194-5357

    Research areas

  • data literacy, data science, education

See relations at Aarhus University Citationformats

ID: 134487826