Guide to Data Quality

Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.

Benefit of this resource and how to make the best use of it

Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.

Creative Commons Attribution (CC BY)

This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.

https://creativecommons.org/licenses/by/4.0/

Select Citation Style

Author, U. (17/09/2026). Guide to data quality. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/guide-to-data-quality/ License: Creative Commons Attribution (CC BY).

Adapting this resource? Share your version!

If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.

Share Your Version