Other Resources

Data Quality: General Reference

Callegaro, M. (Ed.). (2014). Online panel research : a data quality perspective (1st ed.). John Wiley & Sons.

King, T., & Schwarzenbach, J. (2020). Managing data quality : a practical guide ([First edition].). BCS, The Chartered Institute for IT.

Mahanti, R. (2018). Data quality : dimensions, measurement, strategy, management, and governance. ASQ Quality Press.

Olson, J. E. (2003). Data quality: the accuracy dimension. Morgan Kaufmann.

Pipino, L. L., Wang, R. Y., Funk, J. D., & Lee, Y. W. (2006). Journey to Data Quality. (1st ed.). MIT Press. 

Sadiq, S. (Ed.). (2013). Handbook of data quality : research and practice (1st ed. 2013.). Springer. 

Sebastian-Coleman, L. (2013). Measuring Data Quality for Ongoing Improvement : A Data Quality Assessment Framework. (1st ed.). Elsevier Science & Technology.

Zakharov, W. (2023). Data Quality Checking Guide. https://docs.lib.purdue.edu/lib_fsdocs/308/ 

Data Quality Toolkit

Office of Management and Budget — Federal Committee on Statistical Methodology (FCSM) — Integrated Data Quality Subcommittee: https://www.fcsm.gov/resources/data-quality-subcommittee/  

Toolkit for Quality Assessment of Administrative Data for Official Statistics: https://data.unwomen.org/publications/toolkit-quality-assessment-administrative-data-official-statistics 

Data Quality Standards

US Census Bureau Statistical Quality Standards: https://www.census.gov/about/policies/quality/standards.html 

U.S. General Services Administration: Data Quality Guidelines: https://www.gsa.gov/reference/reports/information-quality-guidelines/data-quality-guidelines  

Specific Topic: ESG Rating Data Quality

Berg, F., Koelbel, J. F., & Rigobon, R. (2022). Aggregate confusion: The divergence of ESG ratings. Review of Finance, 26(6), 1315-1344.

Berg, F., Fabisik, K., & Sautner, Z. (2020). Rewriting history II: The (un) predictable past of ESG ratings. European Corporate Governance Institute–Finance Working Paper, 708(2020), 10-2139.

Sahin, Ö., Bax, K., Paterlini, S., & Czado, C. (2023). The pitfalls of (non-definitive) Environmental, Social, and Governance scoring methodology. Global Finance Journal, 56, 100780.

Yang, R. (2021). What do we learn from ratings about corporate social responsibility (CSR)?. Columbia Business School Research Paper, (18-37).

Data Literacy Courses

Bauder, Julia, managing editor. “Data Literacy” (online module). In Andrew Boney, lead editor, SAGE Skills: Student Success (online resource). Thousand Oaks, CA: SAGE. Launch anticipated August 2022: https://us.sagepub.com/en-us/nam/sage-skills-student-success 

Swetland Seminar |FAIR2: A Framework for Addressing Discrimination Bias in Social Data Science: https://www.youtube.com/watch?v=l1_t3mQo9k8  

The Total Data Quality Framework: https://www.coursera.org/learn/the-total-data-quality-framework 

Data Literacy Specialization: https://www.coursera.org/specializations/data-literacy 

Data Literacy: General Reference

Bounegru, L., & Grey, J. (Eds.). (2021). The data journalism handbook : towards a critical data practice. Amsterdam University Press. https://doi.org/10.1515/9789048542079 

Bowen, M., & Bartley, A. (2013). The basics of data literacy : Helping your students (and you!) make sense of data. (1st ed.). National Science Teachers Association.

Gitelman, L. (2013). "Raw data" is an oxymoron. Cambridge, Massachusetts: The MIT Press.

Mattern, E., & Rapchak, M. (2022). Civic data education series: Developing civic data literacies to serve communities. Proceedings of the Association for Information Science and Technology, 59(1), 753-755.

Maybee, C., & Zilinski, L. (2015). Data informed learning: A next phase data literacy framework for higher education. Proceedings of the Association for Information Science and Technology, 52(1), 1-4.

Data Literacy: Library Reference

Bauder, J. (Ed.). (2021). Data literacy in academic libraries : teaching critical thinking with numbers (1st ed.). American Library Association.

Johnston, L. (Lisa R. ), & Carlson, J. (Eds.). (2015). Data Information Literacy Librarians, Data and the Education of a New Generation of Researchers. Purdue University Press.

Data Literacy Project

Data Literacy in the Real World: Conversations & Case Studies (IMLS Grant for School Librarians): https://quod.lib.umich.edu/m/maize/mpub9970368/1:1/--data-literacy-in-the-real-world-conversations-case-studies?rgn=div1;view=fulltext   

Research Methods

Pew Research Methodology: https://www.pewresearch.org/topic/methodological-research/ 

Pew Research Center: Methods 101: https://www.youtube.com/playlist?list=PLZ9z-Af5ISavJpPlvdMU4T-etIDOUmldk 

Critical Appraisal Skills Program Checklist: https://casp-uk.net/casp-tools-checklists