BAM Dataset Open Science. Verified Data. Real Discovery.

BAM Dataset

Open Science. Verified Data. Real Discovery.

Latest Articles

Replication as Resistance: Independent Researchers Are Auditing Oncology Science — and Finding It Wants
Medical Research & Policy

Replication as Resistance: Independent Researchers Are Auditing Oncology Science — and Finding It Wants

A growing cohort of academic researchers and independent scientists is using publicly available datasets to reproduce proprietary cancer studies — and in doing so, surfacing errors, methodological inconsistencies, and overlooked findings that original publishers never corrected. The movement represents a fundamental challenge to the closed-access model that has long governed oncology research, and its results are beginning to influence how treatments are evaluated and approved.
Trained to Miss: How Rare Disease Patients Are Being Systematically Excluded From Medical AI
Medical Research & Policy

Trained to Miss: How Rare Disease Patients Are Being Systematically Excluded From Medical AI

Machine learning models built on population-scale genomic datasets are producing diagnostic tools that work well for common conditions but fail patients with rare genetic disorders. The structural incentives that govern data contribution to open repositories help explain why this gap persists — and why the patients who most need AI-assisted diagnosis are the least likely to receive it.
Taxpayer-Funded, Publicly Unavailable: The Institutional Barriers Keeping NIH Research Data Out of Reach
Medical Research & Policy

Taxpayer-Funded, Publicly Unavailable: The Institutional Barriers Keeping NIH Research Data Out of Reach

Billions of federal dollars flow annually into biomedical research, yet the datasets those dollars produce are routinely locked behind institutional firewalls and subscription barriers. This investigation examines the legal, financial, and cultural forces that sustain this paradox — and profiles the researchers and institutions working to dismantle it.
Invisible Evidence: How Drug Approval Data Submitted to the FDA Disappears From Scientific Scrutiny
Medical Research & Policy

Invisible Evidence: How Drug Approval Data Submitted to the FDA Disappears From Scientific Scrutiny

Pharmaceutical companies submit vast quantities of safety and efficacy data to the FDA as part of the drug approval process — data that shapes prescribing decisions for millions of Americans but remains largely shielded from independent scientific review. This analysis argues that the current framework represents a structural failure of public health governance and examines what genuine transparency reform would demand.
Fragmented by Design: How Siloed Oncology Data Is Slowing the Fight Against Cancer
Medical Research & Policy

Fragmented by Design: How Siloed Oncology Data Is Slowing the Fight Against Cancer

Clinical trials for cancer therapies generate extraordinary volumes of patient data—yet most of it remains locked inside hospital networks, pharmaceutical archives, and private databases that rarely communicate with one another. Researchers attempting to identify drug interactions, treatment patterns, and survival predictors are working with incomplete pictures assembled from incompatible sources. A new generation of open-data advocates is fighting to change that, and early results suggest the s
When the Black Box Wins: Algorithmic Secrecy and the Reproducibility Crisis Reshaping Academic Science
Medical Research & Policy

When the Black Box Wins: Algorithmic Secrecy and the Reproducibility Crisis Reshaping Academic Science

Closed-source machine learning models embedded in peer-reviewed research are quietly undermining the scientific community's ability to verify its own findings. As retracted papers mount and frustration grows, researchers and open-science advocates are demanding a fundamental reckoning with computational opacity. The stakes extend well beyond academia—when algorithms cannot be examined, the public cannot trust the conclusions they produce.
From Soil to Satellite: How Public Climate Data Is Leveling the Playing Field for American Farmers
Agricultural Science

From Soil to Satellite: How Public Climate Data Is Leveling the Playing Field for American Farmers

Publicly available climate datasets are transforming how farmers across the Midwest and Great Plains plan their seasons, respond to drought, and manage pest outbreaks. Once the exclusive domain of large agribusiness operations, sophisticated weather modeling tools are now accessible to independent growers through open-access repositories. The implications for food security and sustainable agriculture in the United States are substantial.
Broken Findings: Inside the Movement to Rebuild American Medical Research on a Foundation of Transparent Data
Medical Research & Policy

Broken Findings: Inside the Movement to Rebuild American Medical Research on a Foundation of Transparent Data

A significant proportion of high-profile medical studies published in the United States cannot be reproduced by independent researchers — a systemic failure with profound consequences for patients, clinicians, and public trust in science. Open-access datasets and transparent research methodologies are emerging as the most credible structural solution to this crisis. This investigation examines why reproducibility collapsed, what it costs, and how institutions are beginning to rebuild.