Research Guides: Data Literacy Competencies for the Workforce: Resource List: Business Data Literacy Competencies

"Business Data Literacy Competencies" Research

Pothier, W., & Condon, P. (2025). Data Literacy Skills: Industry Perspectives and Professional Practice. portal: Libraries and the Academy, 25(2), 271-298.

Version of Record

Pothier, W., & Condon, P. (2024). Business Data Literacy Competencies: Workforce Perceptions and Practices (Version 1). figshare. https://doi.org/10.6084/m9.figshare.25521241.v1

Data Set

Pothier, W., & Condon, P. (2023). Cultivating a Data Literate Workforce: Considerations for Librarians. portal: Libraries and the Academy, 23(4), 629-636.

Patricia B. Condon & Wendy Girven Pothier (2022): Advancing data literacy: Mapping business data literacy competencies to the ACRL framework, Journal of Business & Finance Librarianship.

Pothier, W. G., & Condon, P. B. (2020). Towards data literacy competencies: Business students, workforce needs, and the role of the librarian. Journal of Business & Finance Librarianship, 25(3-4), 123-146.

Pothier, W. G., & Condon, P. B. (2020). Seven Baseline Data Literacy Competencies for Employees. Information Outlook: The Magazine of the Special Library Association, 24(1), 7-10.

Open Access Version

Business data literacy competencies
Business data literacy competencies (Pothier & Condon, 2019)	Description of business data literacy competency
Data organization and storage	focuses on foundational data management practices
Understanding data used in business contexts	involves identifying sources or potential sources of data and thinking critically about the use of the data
Evaluating the quality of data sources	involves critically evaluating how data was generated, who created or generated it, and how is it being analyzed and interpreted
Interpreting data	highlights the importance of knowledgeably decoding data in order to apply findings effectively
Data-driven decision making	emphasizes the data has the power to effect change by enabling decision makers to make deliberate and informed choices.
Communicating and presenting effectively with data	“is about extracting a meaningful and cogent narrative from the data” (Pothier & Condon, 2020).
Data ethics and security	embodies the “responsibility to approach collection, interpretation, use, and security of data ethically and with integrity” (Pothier & Condon, 2019).

Selected "Data Literacy & Libraries" Resources

Data Information Literacy Instruction in Business and Public Health: Comparative Case Studies
Open access version: https://core.ac.uk/download/pdf/46964785.pdf
Macy, K. V., & Coates, H. L. (2016). Data information literacy instruction in business and public health: Comparative case studies. IFLA journal, 42(4), 313-327.
Data Information Literacy Project
An IMLS-funded research project that investigated data information literacy (DIL) needs of e-scientists.
The Data Literacy Cookbook
The Data Literacy Cookbook includes a variety of approaches to and lesson plans for teaching data literacy, from simple activities to self-paced learning modules to for-credit and discipline-specific courses. Sixty-five recipes are organized into nine sections.
Data Literacy for Librarians (FRED)
An online professional development program on data literacy for librarians. This program focuses on seven foundational data literacy competencies and uses FRED® data to provide opportunities for hands-on learning.
Data Literacy in Academic Libraries: Teaching Critical Thinking with Numbers
The strategies and initiatives detailed in this book will empower data librarians, information literacy instructors, library liaisons, and reference staff to successfully incorporate data literacy into their work.
Data Quality Literacy: A guidebook
This book is an edited collection based on a seven-session national forum webinar series on data quality literacy. It covers topics including evaluating data quality: challenges & competencies, quality assurance in data creation, understanding & evaluating governmental data (U.S. & International), commercial data quality issues, data quality: reproducibility and preservation, data quality: evolving employer expectations, and librarians’ role in cultivating data-literate citizens. This book is one of the deliverables of the Institute of Museum and Library Services funded project: Building Capacity of Academic Librarians in Understanding Quantitative Data, Data Quality Problems, and Evaluating Data Quality: A National Forum [RE-252357-OLS-22].
Data Quality Literacy: A Guidebook
This book is an edited collection based on a seven-session national forum webinar series on data quality literacy. It covers topics including evaluating data quality: challenges & competencies, quality assurance in data creation, understanding & evaluating governmental data (U.S. & International), commercial data quality issues, data quality: reproducibility and preservation, data quality: evolving employer expectations, and librarians’ role in cultivating data-literate citizens.
Research Data Q
A collaborative platform for the community to use to explore questions related to research data support in academic libraries.
A Systematic Literature Review of Data Literacy Education
Ghodoosi, B., West, T., Li, Q., Torrisi-Steele, G., & Dey, S. (2023). A systematic literature review of data literacy education. Journal of business & finance librarianship, 28(2), 112-127.
What is Data? What is Data Literacy?
Eastern Michigan University Library data literacy online instruction module.

Data Literacy Competencies for the Workforce: Resource List

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"Business Data Literacy Competencies" Research

Selected "Data Literacy & Libraries" Resources

Selected "Data Literacy in the Workplace" Resources