Digital Transformation Missing Ingredients: Data Literacy

Ugljesa Marjanovic; Davide Taibi; Pedro Cabral; Laimute Urbsiene; Agim Kasaj; Susana M. Marques

doi:10.1007/978-3-030-97947-8_45

Digital Transformation Missing Ingredients: Data Literacy

Ugljesa Marjanovic, Davide Taibi, Pedro Cabral, Laimute Urbsiene, Agim Kasaj, Susana M. Marques

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

30 Downloads (Pure)

Abstract

Employees with data literacy skills have become highly valuable in today’s economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it efficiently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 countries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market.

Original language	English
Title of host publication	Proceedings on 18th International Conference on Industrial Systems – IS’20
Subtitle of host publication	Industrial Innovation in Digital Age
Editors	Bojan Lalic, Danijela Gracanin, Nemanja Tasic, Nenad Simeunović
Publisher	Springer, Cham
Chapter	45
Pages	340-344
Number of pages	5
ISBN (Electronic)	978-3-030-97947-8
ISBN (Print)	978-3-030-97946-1
DOIs	https://doi.org/10.1007/978-3-030-97947-8_45
Publication status	Published - 24 May 2022

Publication series

Name	Lecture Notes on Multidisciplinary Industrial Engineering
ISSN (Print)	2522-5022
ISSN (Electronic)	2522-5030

Keywords

Desk research
Digital competences
European competence frameworks
Open learning systems

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-97947-8_45

Digital_ transformation_missing_ingredients_Data_LiteracyAccepted author manuscript, 369 KBLicence: CC BY-NC-ND

https://link.springer.com/10.1007/978-3-030-97947-8_45

Cite this

Marjanovic, U., Taibi, D., Cabral, P., Urbsiene, L., Kasaj, A., & Marques, S. M. (2022). Digital Transformation Missing Ingredients: Data Literacy. In B. Lalic, D. Gracanin, N. Tasic, & N. Simeunović (Eds.), Proceedings on 18th International Conference on Industrial Systems – IS’20: Industrial Innovation in Digital Age (pp. 340-344). (Lecture Notes on Multidisciplinary Industrial Engineering). Springer, Cham. https://doi.org/10.1007/978-3-030-97947-8_45

Marjanovic, Ugljesa ; Taibi, Davide ; Cabral, Pedro et al. / Digital Transformation Missing Ingredients: Data Literacy. Proceedings on 18th International Conference on Industrial Systems – IS’20: Industrial Innovation in Digital Age. editor / Bojan Lalic ; Danijela Gracanin ; Nemanja Tasic ; Nenad Simeunović. Springer, Cham, 2022. pp. 340-344 (Lecture Notes on Multidisciplinary Industrial Engineering).

@inproceedings{d67dc3a978ee4eafb58dbb874f20e860,

title = "Digital Transformation Missing Ingredients: Data Literacy",

abstract = "Employees with data literacy skills have become highly valuable in today{\textquoteright}s economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it efficiently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 countries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market.",

keywords = "Desk research, Digital competences, European competence frameworks, Open learning systems",

author = "Ugljesa Marjanovic and Davide Taibi and Pedro Cabral and Laimute Urbsiene and Agim Kasaj and Marques, {Susana M.}",

note = "Marjanovic, U., Taibi, D., Cabral, P., Urbsiene, L., Kasaj, A., & Marques, S. M. (2022). Digital Transformation Missing Ingredients: Data Literacy. In B. Lalic, D. Gracanin, N. Tasic, & N. Simeunovi{\'c} (Eds.), Proceedings on 18th International Conference on Industrial Systems – IS{\textquoteright}20: Industrial Innovation in Digital Age (pp. 340-344). (Lecture Notes on Multidisciplinary Industrial Engineering). Springer, Cham. https://doi.org/10.1007/978-3-030-97947-8_45",

year = "2022",

month = may,

day = "24",

doi = "10.1007/978-3-030-97947-8_45",

language = "English",

isbn = "978-3-030-97946-1",

series = "Lecture Notes on Multidisciplinary Industrial Engineering",

publisher = "Springer, Cham",

pages = "340--344",

editor = "Bojan Lalic and Danijela Gracanin and Nemanja Tasic and Nenad Simeunovi{\'c}",

booktitle = "Proceedings on 18th International Conference on Industrial Systems – IS{\textquoteright}20",

}

Marjanovic, U, Taibi, D, Cabral, P, Urbsiene, L, Kasaj, A & Marques, SM 2022, Digital Transformation Missing Ingredients: Data Literacy. in B Lalic, D Gracanin, N Tasic & N Simeunović (eds), Proceedings on 18th International Conference on Industrial Systems – IS’20: Industrial Innovation in Digital Age. Lecture Notes on Multidisciplinary Industrial Engineering, Springer, Cham, pp. 340-344. https://doi.org/10.1007/978-3-030-97947-8_45

Digital Transformation Missing Ingredients: Data Literacy. / Marjanovic, Ugljesa; Taibi, Davide; Cabral, Pedro et al.
Proceedings on 18th International Conference on Industrial Systems – IS’20: Industrial Innovation in Digital Age. ed. / Bojan Lalic; Danijela Gracanin; Nemanja Tasic; Nenad Simeunović. Springer, Cham, 2022. p. 340-344 (Lecture Notes on Multidisciplinary Industrial Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Digital Transformation Missing Ingredients: Data Literacy

AU - Marjanovic, Ugljesa

AU - Taibi, Davide

AU - Cabral, Pedro

AU - Urbsiene, Laimute

AU - Kasaj, Agim

AU - Marques, Susana M.

N1 - Marjanovic, U., Taibi, D., Cabral, P., Urbsiene, L., Kasaj, A., & Marques, S. M. (2022). Digital Transformation Missing Ingredients: Data Literacy. In B. Lalic, D. Gracanin, N. Tasic, & N. Simeunović (Eds.), Proceedings on 18th International Conference on Industrial Systems – IS’20: Industrial Innovation in Digital Age (pp. 340-344). (Lecture Notes on Multidisciplinary Industrial Engineering). Springer, Cham. https://doi.org/10.1007/978-3-030-97947-8_45

PY - 2022/5/24

Y1 - 2022/5/24

N2 - Employees with data literacy skills have become highly valuable in today’s economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it efficiently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 countries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market.

AB - Employees with data literacy skills have become highly valuable in today’s economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it efficiently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 countries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market.

KW - Desk research

KW - Digital competences

KW - European competence frameworks

KW - Open learning systems

UR - http://www.scopus.com/inward/record.url?scp=85137478198&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-97947-8_45

DO - 10.1007/978-3-030-97947-8_45

M3 - Conference contribution

SN - 978-3-030-97946-1

T3 - Lecture Notes on Multidisciplinary Industrial Engineering

SP - 340

EP - 344

BT - Proceedings on 18th International Conference on Industrial Systems – IS’20

A2 - Lalic, Bojan

A2 - Gracanin, Danijela

A2 - Tasic, Nemanja

A2 - Simeunović, Nenad

PB - Springer, Cham

ER -

Marjanovic U, Taibi D, Cabral P, Urbsiene L, Kasaj A, Marques SM. Digital Transformation Missing Ingredients: Data Literacy. In Lalic B, Gracanin D, Tasic N, Simeunović N, editors, Proceedings on 18th International Conference on Industrial Systems – IS’20: Industrial Innovation in Digital Age. Springer, Cham. 2022. p. 340-344. (Lecture Notes on Multidisciplinary Industrial Engineering). doi: 10.1007/978-3-030-97947-8_45

Digital Transformation Missing Ingredients: Data Literacy

Abstract

Publication series

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this