Data literacy as a compound competence

TY - GEN

T1 - Data literacy as a compound competence

AU - Pedersen, Alex Young

AU - Caviglia, Francesco

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - data literacy

KW - data science

KW - education

UR - http://www.scopus.com/inward/record.url?scp=85055847388&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-02351-5_21

DO - 10.1007/978-3-030-02351-5_21

M3 - Article in proceedings

T3 - Advances in Intelligent Systems and Computing

SP - 166

EP - 173

BT - Digital Science

PB - Springer

CY - Cham

T2 - The 2018 International Conference on Digital Science

Y2 - 19 October 2018 through 21 October 2018

ER -