Data literacy and data science literacy for nurses: State of the art literature review Review


Authors: Mikyoung, L. E. E.; D'Agostino, F.; Wieben, A.; Coviak, C.; Mullen-Fortino, M.; Park, S.; Sileo, M.; Brown, S.; Nogueira De Souza, E.; Pruinelli, L.; Role, J.
Review Title: Data literacy and data science literacy for nurses: State of the art literature review
Abstract: In the rapidly evolving landscape of modern healthcare, nurses must proficiently navigate data utilization and grasp the principles of data science. Despite this urgency, nursing stakeholders currently do not fully understand the extent of data literacy or data science literacy they need to acquire. This paper aims to elucidate the distinctions between data literacy and data science literacy, offering insights into strategies for nurturing these competencies within nursing education, research, and practice. Through a state-of-the-art review of 22 articles and six healthcare industry resources, we identified a notable absence of comprehensive frameworks and assessment tools, highlighting key areas for future development.
Keywords: systematic review; conceptual framework; united kingdom; professional competence; cinahl database; nursing practice; nursing informatics; pubmed; education, nursing; research, nursing; information literacy; nursing knowledge; human; nursing skills; data science; congresses and conferences -- united kingdom
Journal Title: Studies in Health Technology and Informatics
Volume: 315
ISSN: 0926-9630
Publisher: IOS Press  
Date Published: 2024-01-01
Start Page: 195
End Page: 199
Language: English
DOI: 10.3233/shti240133
PROVIDER: EBSCOhost
PROVIDER: cinahl plus with full text
PUBMED: 39049252
DOI/URL:
Notes: This article was published in the book "Innovation in Applied Nursing Informatics" (ISBN: 978-1-64368-527-4) which is part of the series "Studies in Health Technology & Informatics" -- Source: CINAHL Plus with Full Text
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  1. Sophia F Brown
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