# Interesting paper on assessing quality of community health data

**URL:** <https://forum.communityhealthtoolkit.org/t/interesting-paper-on-assessing-quality-of-community-health-data/1195>\
**Category:** Research\
**Tags:** data-confidence\
**Created:** [March 16, 2021, 11:58pm UTC](https://forum.communityhealthtoolkit.org/t/interesting-paper-on-assessing-quality-of-community-health-data/1195 "2021-03-16T23:58:12Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![isaacholeman](https://communityhealthtoolkit.b-cdn.net/user_avatar/forum.communityhealthtoolkit.org/isaacholeman/32/20_2.png) [@isaacholeman](https://forum.communityhealthtoolkit.org/u/isaacholeman)\
**Post date:** [March 16, 2021, 11:58pm UTC](https://forum.communityhealthtoolkit.org/t/interesting-paper-on-assessing-quality-of-community-health-data/1195/1 "2021-03-16T23:58:12Z")

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Came across this [pre-print paper](https://arxiv.org/pdf/2011.02962v4.pdf) about using machine learning to assess quality of community health data sets, and wanted to share here! Seems highly relevant to the DataKind - Medic project on [data confidence and engineering data quality assessments](https://www.datakind.org/blog/engineering-scalable-data-quality-assessments-for-frontline-health). Here’s the abstract:

> Machine learning has tremendous potential to provide tar-geted interventions in low-resource communities, howeverthe availability of high-quality public health data is a signifi-cant challenge. In this work, we partner with field experts at anon-governmental organization (NGO) in India to define andtest a data collection quality score for each health worker whocollects data. This challenging unlabeled data problem is han-dled by building upon domain-expert’s guidance to design auseful data representation that is then clustered to infer a dataquality score. We also provide a more interpretable version ofthe score. These scores already provide for a measurement ofdata collection quality; in addition, we also predict the qual-ity for future time steps and find our results to be very accu-rate. Our work was successfully field tested and is in the finalstages of deployment in Rajasthan, India.