Join Naomi Waithira, Head of Data Management at the Mahidol Oxford Research Unit, as she explores the critical role of data in tackling global health challenges.

In this insightful discussion, Naomi considers:

The power of data: How data can be used to track outbreaks, inform policies, and predict future health threats.

Addressing data scarcity: Trust and collaboration in data sharing.

FAIR data: Ensuring data is accessible, reliable, and usable for research and decision-making.

Empowering researchers: Through skills strengthening and fostering collaboration among researchers in low-resource settings.

This video provides valuable insights into the critical role of data in improving global health outcomes.

Further Resources:

Intention to share data:  Li R, von Isenburg M, Levenstein M, Neumann S, Wood J, Sim I. COVID-19 trials: declarations of data sharing intentions at trial registration and at publication. Trials. 2021;22(1):153. Epub 20210218. doi: 10.1186/s13063-021-05104-z. PubMed PMID: 33602275; PubMed Central PMCID: PMCPMC7891481.

Bias: Parikh RB, Teeple S, Navathe AS. Addressing Bias in Artificial Intelligence in Health Care. JAMA. 2019;322(24):2377-8. doi: 10.1001/jama.2019.18058.

Data scarcity, AMR: Murray CJL, Ikuta KS, Sharara F, Swetschinski L, Robles Aguilar G, Gray A, et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. The Lancet. 2022;399(10325):629-55. doi: 10.1016/S0140-6736(21)02724-0.

Data gaps in LMICs: Hung YW, Hoxha K, Irwin BR, Law MR, Grépin KA. Using routine health information data for research in low- and middle-income countries: a systematic review. BMC Health Services Research. 2020;20(1):790. doi: 10.1186/s12913-020-05660-1.

Equity: Natalia E, Susan B, Bridget P. What constitutes equitable data sharing in global health research? A scoping review of the literature on low-income and middle-income country stakeholders’ perspectives. BMJ Global Health. 2023;8(3):e010157. doi: 10.1136/bmjgh-2022-010157.

CDISC: https://www.cdisc.org/standards

OMOP: https://ohdsi.github.io/CommonDataModel/

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