Data Literacy Assessment - Measuring Data Literacy Competencies to Leverage Data-Driven Organizations

Lara Pörtner (), Vivian Klaassen, Dilara Sezgin and Ysaline Kievits
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Lara Pörtner: G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, G-SCOP_COSYS - Conception Systémique: Homme, Environnement, Technologies - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, CAMELOT - CAMELOT Management Consultants AG
Vivian Klaassen: CAMELOT - CAMELOT Management Consultants AG
Dilara Sezgin: CAMELOT - CAMELOT Management Consultants AG
Ysaline Kievits: CAMELOT - CAMELOT Management Consultants AG

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Abstract: In today's rapidly evolving data-driven landscape, the ability to understand, analyze, and interpret data is more important than ever. With an everincreasing amount of data being generated and collected at an unprecedented rate, both individuals and organizations are forced to develop a high level of data literacy. Data literacy, as the ability to work with, analyze, understand, use, and argue with data, is therefore the key not to drown in data. A detailed data literacy assessment can provide companies with a significant advantage and push their daily and data-related activities to a mature level. A literature review of existing data literacy frameworks with their competencies underscore the need for a flexible and adaptable approach to data literacy that considers the diverse needs and contexts of different stakeholders. While there is no one-size-fits-all assessment, the frameworks outlined in this review provide a useful starting point for developing a common language and set of data literacy skills. The purpose of this paper is to put an accent on the importance of data literacy by introducing an assessment of competencies applicable in different industry sectors that can sustainably support companies to make them realize the need for data literacy and for leveraging their skills. The competencies as part of a data literacy framework as a whole will be applied and validated in different industry sectors for continuous improvement in future research.

Keywords: Data-Driven Organizations Data Literacy Framework Maturity Assessment Data Management; Data-Driven Organizations; Data Literacy Framework; Maturity Assessment; Data Management (search for similar items in EconPapers)
Date: 2024-06-03
New Economics Papers: this item is included in nep-fle
Note: View the original document on HAL open archive server: https://hal.science/hal-04764249v1
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Published in CIRP Design Conference 2024, Jun 2024, Cranfield, United Kingdom. pp.78 - 83, ⟨10.1016/j.procir.2024.07.047⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04764249

DOI: 10.1016/j.procir.2024.07.047

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