Category: Data Curation
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Part 2: Enhancing EHR Data Quality: Key Findings from Recent Studies
This post is Part 2 of our 2-part series on recent research studies looking at EHR data quality. Part 1 presented 3 studies from 2025, and Part 2 presents 2 more recent studies and a proposed technological shift that avoids the pitfalls of traditional data pipelines. Study #4. Interoperability Remains a Pain Point While previous…
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Part 1: Reactive vs. Proactive: The High Cost of Unvalidated EHR Data
Electronic Health Records were meant to be the backbone of modern healthcare and AI clinical prediction system. Instead, the 2025 research landscape paints a sobering picture. EHR data is incomplete, inconsistent, and often wrong at a scale that threatens clinical research, AI development, and even day‑to‑day patient care. Across multiple new studies, a consistent theme…
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Part 2: Key Takeaways from the RDA Plenary on Omics Data Curation Workflows
The first part of a two-part blog series highlighted key takeaways from the 23rd RDA Plenary Meeting in San José, Costa Rica, presenting the AI/ML and interoperability topics that are relevant to FAIRLYZ. This second part will present and discuss current efforts to develop practical omics data curation workflows that include data annotation, curation, and…