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The issue emerged because journals and funders increasingly require researchers to publish the code they have used to analyse large datasets. When intending to upload code, some researchers have also accidentally published partial or entire Biobank datasets to GitHub, a popular online code-sharing platform. UK Biobank prohibits researchers from sharing data outside their systems and says it has introduced further training for all researchers.

In the past year, the data leaks appear to have become a more urgent concern to UK Biobank. Between July and December 2025, it issued 80 legal notices to GitHub, which has complied with requests to remove data from the internet. Yet much still remains available.

The issue emerged because journals and funders increasingly require researchers to publish the code they have used to analyse large datasets. When intending to upload code, some researchers have also accidentally published partial or entire Biobank datasets to GitHub, a popular online code-sharing platform. UK Biobank prohibits researchers from sharing data outside their systems and says it has introduced further training for all researchers. In the past year, the data leaks appear to have become a more urgent concern to UK Biobank. Between July and December 2025, it issued 80 legal notices to GitHub, which has complied with requests to remove data from the internet. Yet much still remains available.

Confidential health records from UK BioBank project exposed online www.theguardian.com/science/2026...

@ukbiobank.bsky.social statement www.ukbiobank.ac.uk/news/a-messa...

Article highlights potential for re-identification in datasets shared by researchers

#patientdata #healthdata #dataprotection

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MSc Health Data Science | LSHTM

🌍 Learn how to use #HealthData to tackle some of the biggest #PublicHealth problems around the world on this @lshtm.bsky.social course

Apply your data science skills in fields like machine learning, electronic health records and epidemiology

Details 🔽
www.lshtm.ac.uk/study/course...

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Big DRP shout-out to one of our volunteers who worked on this project to make the data files in AtlasPlus more accessible!
#DataRescue #HealthData #PublicDataisaPublicGood
@altcdc.altgov.info

www.datarescueproject.org/atlasplus-da...

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Learn how the Eastern England SDE enables federated cohort discovery across standardised secondary care data for research at Health Data for Discovery on 23 March.
Register your interest here: bit.ly/4l1kuXa
#EasternSDE
#DataSavesLives
#SDE
#PoweredByData
#HealthData

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There's still time - R/Medicine 2026 Call for Proposals closes March 13

There's still time - R/Medicine 2026 Call for Proposals closes March 13

Contribute your knowledge and your voice!

The R/Medicine 2026 Call for Proposals closes tomorrow, March 13.

Submit your talk, lightning talk, demo, or workshop!

rconsortium.github.io/RMedicine_we...

#rstats #opensource #publichealth #healthdata

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Human Longevity launches a mobile platform that uses AI and long-term health data to help users track risks and stay engaged.

vist.ly/4uqa4

#longevity #DigitalHealth #AIinHealthcare #PrecisionHealth #HealthData #HealthTech

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Researchers are invited to join Health Data for Discovery on 23 March to hear about the Eastern England SDE's single route to de-identified data from multiple NHS sites. Register your interest here: bit.ly/4l1kuXa
#EasternSDE #DataSavesLives #PoweredByData #HealthData #SDE

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Webinars WorldPop Webinars Take Our Survey and Help Shape What Comes Next https://www.youtube.com/watch?v=Hif2A3dmWqU WorldPop Global 2 – Yearly High-Resolution Population Data in DHIS2 March 2026 Mapping the ...

📹WEBINAR: Our Global 2 open datasets are now integrated into #DHIS2 - helping health teams visualise populations, plan services, and link with climate data.

💭Better data → better decisions.

Watch the DHIS2/WorldPop webinar: www.worldpop.org/webinars/

#PopulationData #HealthData

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Data matters. Understanding matters more.
At Databoom, we turn complex health data into clear stories people can act on. Insight only creates impact when it’s understood.

#HealthData #DataStorytelling #DataboomUS

bit.ly/4uim8rC

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Patient health data as a public utility: A former ARPA-H data chief explains Patients generate vast health data, but private companies monetize it. A policy group proposes treating the data like a regulated utility.

Experts propose a public utility model for health data governance to balance innovation, transparency, and patient control. 🔗 https://ow.ly/u0Mf50Yrgms #HealthData #DataGovernance #PublicUtility #PatientPrivacy #Interoperability #HealthTech #DigitalHealth #HealthcarePolicy

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In healthcare, bad SQL isn't just slow—it's a HIPAA risk. ⚕️

📃 scriptdatainsights.blogspot.com/2026/03/sql-...
🎞 youtube.com/shorts/UFb9C...
🛒 scriptdatainsights.gumroad.com/l/march-skil...

Ever dealt with 50 'John Smiths' in one table?

#SQL #HealthData #DataCleaning #Coding #DataEngineering

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Minnesota and Medicaid: What the data says | USAFacts The federal government funded 69% of Medicaid costs as of 2023. In Minnesota, it covered 63% of the $19.2 billion spent.

USA Facts breaks down Minnesota’s Medicaid program — funding, enrollment & federal action on frozen funds amid a fraud review.
usafacts.org/articles/minnesota-and-m...

#Medicaid #HealthData #MN #PolicyInsights

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Global data show people rank sleep above diet and exercise, yet most still fail to act on chronic rest problems.

vist.ly/4ubj8

#longevity #sleephealth #sleepscience #publichealth #wellnesshabits #healthdata #restandrecovery #circadianhealth

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Have you used the Data Portal at Dementias Platform UK yet?
It's FREE-TO ACCESS all 107 datasets.

Take a look yourself and see how it can help you.
#translationalmedicine #healthdata #dementia #cognition #neuroimaging
zurl.co/NVOPb

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More Indian households are consuming tobacco today than a decade ago.

• Rural: 59% → 69%
• Urban: 35% → 46%

#India #Tobacco #PublicHealth #HealthData #NSSO #RuralIndia #UrbanIndia #IndiaStats

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On 23 March we’re hosting the launch event for the Eastern England SDE – Health Data for Discovery –for researchers and innovators in interested in safely accessing de-identified patient health data for research that is in the public interest.
bit.ly/4l1kuXa
#SDE
#EasternSDE
#HealthData

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PPSNs and IHIs improve patient identification – HSE

https://bit.ly/4tVj1py

@eHealthIreland @Slaintecare @HSELive #ehealth #gdpr #healthdata #healthanalytics #hse #ai #artificialintelligence #healthdata #digitalhealth #medtech #medEd

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Health3 now lets you export blood test results as a branded PDF report. Single test or full history. Share it with your doctor before your next consultation. Works on iOS and Android. #Health3 #PDFExport #HealthData

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WHO releases updated Health Inequality Data Repository and Health Equity Assessment Toolkit WHO has released updated versions of two key resources as part of the Health Inequality Monitor to strengthen data accessibility and usability for health equity.The WHO Health Inequality Data Repository (HIDR), the largest public repository of health inequality data, has been updated with the latest available data from publicly available sources. It now contains over 13 million data points that capture more than 2400 health indicators and 22 dimensions of inequality. The newly released Version 7 of the Health Equity Assessment Toolkit (HEAT and HEAT Plus) software includes improved...

New from WHO: updated tools for health inequality monitoring, including 13 million+ data points across 2,400+ indicators and 22 dimensions of inequality.

https://ow.ly/hTks50YqqaX

#HealthData #HealthEquity

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Alexey Strygin on why his study of billionaire deaths went viral – and what it says about communicating longevity science.

vist.ly/4t2dn

#longevity #LongevityScience #PopulationHealth #HealthData #ScienceCommunication #AgingResearch #Demography

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How can we strengthen trust in health data used for research and innovation?

The QUANTUM project is working towards a Data Quality Label for #healthdata, supporting both researchers and data holders across Europe.

Discover our new web flyer! ⬇️

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PPSNs and IHIs improve patient identification – HSE

https://bit.ly/4tVj1py

@eHealthIreland @Slaintecare @HSELive #ehealth #gdpr #healthdata #healthanalytics #hse #ai #artificialintelligence #healthdata #digitalhealth #medtech #medEd

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AHCA/NCAL is spotlighting the new Long‑Term Care Data Cooperative — a nationwide EHR‑based resource that supports research, public health surveillance, and improved care for long‑term care residents.

Read more 👇
https://ow.ly/7Qhv50YpG15

#LongTermCare #HealthData #ClinicalResearch #QualityCare

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Graphic for World Obesity Day (March 4, 2026) reading: ‘This World Obesity Day, wake up to the true drivers of Obesity.’ Surrounding labels identify drivers: food systems, inequality, healthcare barriers, stigma, and unhealthy environment. Text at bottom: ‘Read more about the drivers of Obesity in the HMCA literature – link in description.’ HMCA logo.

Graphic for World Obesity Day (March 4, 2026) reading: ‘This World Obesity Day, wake up to the true drivers of Obesity.’ Surrounding labels identify drivers: food systems, inequality, healthcare barriers, stigma, and unhealthy environment. Text at bottom: ‘Read more about the drivers of Obesity in the HMCA literature – link in description.’ HMCA logo.

The 2026 World Obesity Day theme is "8 Billion Reasons to Act on Obesity". #HMCA invites you to explore our Bibliography of Data-related Literature with 102 publications related to obesity citing HMCA studies. myumi.ch/rA9ER #RWJF #healthdata #OforObesity

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Original post on mapstodon.space

Mapping the Future: High-Resolution Population Open Data Meets Global Health

The new WorldPop Global 2 dataset is now integrated into DHIS2 - delivering 100m gridded population data for smarter vaccination planning, climate resilience & outbreak prediction.

From interactive maps to custom […]

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PPSNs and IHIs improve patient identification – HSE

https://bit.ly/4tVj1py

@eHealthIreland @Slaintecare @HSELive #ehealth #gdpr #healthdata #healthanalytics #hse #ai #artificialintelligence #healthdata #digitalhealth #medtech #medEd

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15.8 Million French Medical Records Exposed in Third-Party Software Breach Hackers stole 15.8 million patient files from French medical software firm Cegedim Santé, exposing sensitive health data including HIV status and sexual orientation.

15.8 Million French Medical Records Exposed in Third-Party Software Breach

#DataBreach #CyberSecurity #DigitalHealth #HealthData #MyHealthRecord #AusNews

thedailyperspective.org/article/2026-03-03-15-8-...

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Server-Side Tracking Lawsuits: What Privacy Violations Are Lawyers Investigating in 2026? - The Lyon Firm Server-side tracking bypasses browser protections, triggering major privacy lawsuits. Learn how companies collect your data without consent and your legal rights under CCPA.

Healthcare and financial companies face lawsuits for sharing sensitive patient and financial data with Meta and Google through server-side tracking bypassing browser privacy tools. Facebook Pixel was over-permissioned in 4% of deployments. #HealthData #Tracking #Meta thelyonfirm.com/blog/server-...

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PPSNs and IHIs improve patient identification – HSE

https://bit.ly/4tVj1py

@eHealthIreland @Slaintecare @HSELive #ehealth #gdpr #healthdata #healthanalytics #hse #ai #artificialintelligence #healthdata #digitalhealth #medtech #medEd

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Evaluation of the Accuracy of Probabilistic Record Linkage Across Sociodemographic Categories in 4 Databases: Exploratory Study Background: Accurate patient record linkage is essential for clinical care, health information exchange, research, and public health surveillance. However, linkage accuracy may vary across demographic groups due to differences in data completeness, quality, and the structural factors underlying how demographic information is captured. Objective: This study aimed to explore whether probabilistic patient matching accuracy varies by age, sex, race, and ethnicity and to identify potential sources of bias that may influence matching performance. Methods: We used 4 Indiana data sources—the Indiana Network for Patient Care, Newborn Screening, Social Security Administration Death Master File, and Marion County Public Health Department—and applied a modified Fellegi-Sunter probabilistic linkage algorithm accommodating missing data under a missing at random assumption. Gold standard match status was established through dual manual review with adjudication. For each dataset, matching sensitivity, positive predictive value, and -scores were estimated and stratified by age, sex, race, and ethnicity. Data completeness, distinct value ratio, and Shannon entropy were assessed to characterize data quality. Ninety-five percent bootstrap CIs were used to assess significance. Results: The algorithm-matching -score was greater than 0.82 for all age strata, ranging from 0.88 to 0.97 for sex, 0.85 to 0.99 for race, and 0.88 to 0.99 for ethnicity. Sensitivity ranged from 0.70 to 0.97 across age strata, 0.76 to 0.97 across sex, 0.85 to 0.99 across race, and 0.85 to 0.989 across ethnicity. Lower sensitivity and -scores were consistently observed in strata with greater missingness or discordance, particularly in Newborn Screening and Social Security Administration Death Master File. Race and ethnicity exhibited the highest missingness and lowest informational diversity, coinciding with the largest declines in accuracy. Shannon entropy and distinct value ratio varied across demographic groups and were strongly associated with performance, indicating that both low and excessively high informational diversity can impair matching. Conclusions: Probabilistic patient matching accuracy is not uniform across demographics and is strongly influenced by data quality and completeness. Although overall matching performance, as assessed by the -score, remained above 0.8, it varied across datasets when stratified by sociodemographic characteristics. Sociodemographic data missingness is associated with lower matching accuracy, raising equity and ethical concerns for clinical, research, and public health applications. Routine demographic-stratified evaluations of matching accuracy, improved standardization of sociodemographic data, and fairness-aware linkage methods are essential to prevent the amplification of structural inequities in linked health datasets.

JMIR Formative Res: Evaluation of the Accuracy of Probabilistic Record Linkage Across Sociodemographic Categories in 4 Databases: Exploratory Study #PatientSafety #HealthData #PublicHealth #DataQuality #RecordLinkage

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