Introducing QAMyData: A health check for numeric data
Posted: Sat Feb 08, 2025 5:09 am
Louise Corti introduces the QAMyData tool recently developed by the UK Data Service. The tool is a free easy-to-use open source tool that provides a health check for numeric data. It uses automated methods to detect and report on some of the most common problems in survey or numeric data, such as missing data, duplication, outliers and direct identifiers.
Why do we need a checking tool?
Accountability, transparency and reproducibility taiwan rcs data are key to high quality social science research. Such research can usefully be built upon high-quality and trustworthy data.
However, finding the right tools to check and clean data in order for it to be FAIR can be a challenging task. For repository staff, this can lead to time-consuming, manual checking, cleaning and documenting data.
We recognised that developing a light weight, open-source tool based on open-source software for quality assessment of research data would really benefit researchers and repository staff. Consequently, we gained a grant from the National Centre for Research Methods (NCRM) under its Phase 2 Commissioned Research Projects fund to develop the QAMyData tool.
Why do we need a checking tool?
Accountability, transparency and reproducibility taiwan rcs data are key to high quality social science research. Such research can usefully be built upon high-quality and trustworthy data.
However, finding the right tools to check and clean data in order for it to be FAIR can be a challenging task. For repository staff, this can lead to time-consuming, manual checking, cleaning and documenting data.
We recognised that developing a light weight, open-source tool based on open-source software for quality assessment of research data would really benefit researchers and repository staff. Consequently, we gained a grant from the National Centre for Research Methods (NCRM) under its Phase 2 Commissioned Research Projects fund to develop the QAMyData tool.