BAM Dataset Open Science. Verified Data. Real Discovery.

BAM Dataset

Open Science. Verified Data. Real Discovery.

Latest Articles

The Informal Archive: PhD Students Stepping In Where Institutions Have Stepped Out
Medical Research & Policy

The Informal Archive: PhD Students Stepping In Where Institutions Have Stepped Out

Across American universities, a quiet and largely unrecognized form of scientific labor is underway. Graduate students and postdoctoral researchers — operating without formal mandates, institutional support, or compensation — are systematically rescuing datasets that would otherwise be lost when labs close, faculty retire, or funding cycles end. The work is essential. The sustainability is precarious.
Stress-Testing the Scientific Record: Independent Verification and What It Keeps Uncovering
Medical Research & Policy

Stress-Testing the Scientific Record: Independent Verification and What It Keeps Uncovering

A growing movement of independent researchers is systematically attempting to reconstruct published findings using only the data and methods their authors chose to make public. What these audits are revealing — across psychology, genomics, and economics — is less a story of fraud than a story of structural incentives that make selective disclosure the rational choice for nearly every researcher operating within the current publication system.
Disconnected by Design: The Federal Data Gap Costing American Agriculture Billions
Agricultural Science

Disconnected by Design: The Federal Data Gap Costing American Agriculture Billions

Across dozens of federal agencies, climate and agricultural datasets are collected, stored, and maintained in ways that make cross-disciplinary analysis extraordinarily difficult. The institutional and technical barriers separating these data systems are not accidental — they are the product of decades of siloed funding, incompatible standards, and competing agency mandates. What researchers could accomplish if these barriers fell represents one of the most consequential unrealized opportunities
Consolidated Out of Existence: What University Mergers Are Doing to America's Research Data
Agricultural Science

Consolidated Out of Existence: What University Mergers Are Doing to America's Research Data

When American universities merge, restructure, or shutter departments, the administrative consequences are visible and well-documented. The scientific consequences — entire research data collections quietly deleted, migrated into incompatibility, or simply abandoned — rarely make the press release.
Funding the Same Discovery Twice: The Measurable Cost of Undiscoverable Public Research Data
Medical Research & Policy

Funding the Same Discovery Twice: The Measurable Cost of Undiscoverable Public Research Data

Federal agencies distribute billions of dollars annually to researchers who, in a meaningful fraction of cases, are collecting data that already exists somewhere in the public record — labeled poorly, formatted inconsistently, or deposited in a repository no search engine indexes effectively. The resulting duplication is not a minor inefficiency. It is a structural tax on American scientific productivity.
Rebuilding From Scratch: The Volunteer Scientists Reconstructing Research Data That Never Should Have Disappeared
Medical Research & Policy

Rebuilding From Scratch: The Volunteer Scientists Reconstructing Research Data That Never Should Have Disappeared

Across a loose network of independent labs, open-source communities, and citizen science platforms, researchers are doing work that should not need to exist: painstakingly reconstructing scientific datasets that were published, cited, and then made inaccessible. The effort reveals as much about systemic failure as it does about scientific ingenuity.
Preserved but Unreachable: The University Vaults Where Decades of Research Data Quietly Disappear
Medical Research & Policy

Preserved but Unreachable: The University Vaults Where Decades of Research Data Quietly Disappear

Across the United States, university archives hold vast collections of research data spanning decades — clinical trial records, longitudinal health studies, agricultural surveys — much of it never revisited after the original project concluded. Despite the enormous potential value of these datasets, institutional liability concerns, inadequate metadata, and funding gaps have transformed these repositories into de facto data graveyards. BAM Dataset examines why preservation without access may be

Training Data Is the Science: Why Deleting It After Deployment Undermines Every AI Model Built on It
Medical Research & Policy

Training Data Is the Science: Why Deleting It After Deployment Undermines Every AI Model Built on It

Across research institutions and commercial laboratories, the datasets used to train artificial intelligence systems are being discarded, compressed beyond utility, or sealed behind proprietary agreements shortly after the models they produced go live. Without access to training data, independent auditors, clinicians, and rival researchers cannot meaningfully evaluate what an AI system learned, what it missed, or why it fails when it does. The scientific record is accumulating AI-derived finding
When the Scientist Leaves, the Science Follows: The Institutional Failure Erasing Decades of Research Data
Medical Research & Policy

When the Scientist Leaves, the Science Follows: The Institutional Failure Erasing Decades of Research Data

Across American universities, a silent purge occurs every time a senior researcher retires or departs: decades of experimental data, methodology notes, and irreplaceable datasets quietly disappear alongside them. Institutions have long treated research data as the personal property of the investigator who generated it, a convention that is now extracting a measurable cost from the scientific record. A growing coalition of data stewards, archivists, and early-career researchers is working to reco
Vanishing Acts: Why Well-Meaning Researchers Keep Publishing Computational Science That Cannot Be Rebuilt
Medical Research & Policy

Vanishing Acts: Why Well-Meaning Researchers Keep Publishing Computational Science That Cannot Be Rebuilt

Across disciplines, researchers who genuinely intend to share their work are inadvertently producing studies whose computational cores cannot be reconstructed. The problem is not dishonesty—it is a systemic failure to treat code, parameters, and software environments as archival materials on equal footing with data itself. Understanding why this keeps happening may be the first step toward reversing it.
Still Alive, Already Forgotten: The Quiet Abandonment of Functional Research Datasets
Medical Research & Policy

Still Alive, Already Forgotten: The Quiet Abandonment of Functional Research Datasets

Thousands of research datasets remain technically accessible in institutional repositories long after the projects that created them have concluded—yet they are effectively invisible to the scientific community. Institutional memory loss, expiring grant cycles, and the absence of long-term stewardship protocols conspire to render perfectly functional data unreachable. Understanding why this happens, and what a small number of forward-thinking institutions are doing to reverse it, is among the mo
Built on Vapor: The Orphaned AI Models Running on Datasets No One Can Find
Medical Research & Policy

Built on Vapor: The Orphaned AI Models Running on Datasets No One Can Find

Across American research institutions, AI systems trained on datasets that no longer exist—or were never properly preserved—are being deployed in consequential scientific and clinical settings. When the underlying data vanishes, so does any meaningful capacity for audit, challenge, or accountability. The speed of AI development has created a generation of black-box models with phantom foundations.
Haunted by Citation: The Broken Reference Chains Corrupting the Scientific Record
Medical Research & Policy

Haunted by Citation: The Broken Reference Chains Corrupting the Scientific Record

When foundational datasets vanish from public repositories, the citations pointing to them do not disappear alongside them. Researchers tracing these phantom references are discovering that broken data links propagate through the literature for decades, lending false authority to findings that can no longer be independently verified.
Stripped of Meaning: How Poor Metadata Practices Are Quietly Hollowing Out Scientific Datasets
Medical Research & Policy

Stripped of Meaning: How Poor Metadata Practices Are Quietly Hollowing Out Scientific Datasets

Across disciplines, published datasets are arriving in public repositories with metadata so sparse or imprecise that the data itself becomes scientifically inert. When collection methods, sampling constraints, and known biases go undocumented, other researchers cannot responsibly reuse what they find. This article examines how institutional pressures are driving the problem and what concrete standards could reverse the damage.
Declared but Unreachable: The Quiet Collapse of Data Availability Statements in Published Research
Medical Research & Policy

Declared but Unreachable: The Quiet Collapse of Data Availability Statements in Published Research

Thousands of peer-reviewed studies contain data availability statements that point researchers toward files that no longer exist, links that have long since expired, or repositories that were never properly populated. The gap between what journals require authors to declare and what those authors actually deliver has grown into a systemic failure — one that quietly undermines the reproducibility of published science across nearly every discipline.
Fabricated Foundations: When Synthetic Data Enters the Scientific Record Unannounced
Medical Research & Policy

Fabricated Foundations: When Synthetic Data Enters the Scientific Record Unannounced

Researchers are increasingly supplementing experimental work with AI-generated datasets, often without disclosing the substitution to peer reviewers or the broader scientific community. The consequences for reproducibility are significant and, in some fields, already measurable. Open science repositories must now grapple with whether synthetic data can ever be treated as equivalent to empirically gathered evidence.
Ink That Outlasted the Server: The Quiet Revival of Forgotten Laboratory Notebooks
Medical Research & Policy

Ink That Outlasted the Server: The Quiet Revival of Forgotten Laboratory Notebooks

Across American research institutions, archivists and scientists are discovering that handwritten laboratory notebooks from decades past have survived more intact than the digital files that were supposed to replace them. These rediscovered records are prompting serious questions about reproducibility, institutional memory, and what it means to preserve scientific knowledge for the long term. The findings challenge foundational assumptions about which documentation formats actually serve science
Cited Into Thin Air: The Growing Problem of Scientific Datasets That Exist Only on Paper
Medical Research & Policy

Cited Into Thin Air: The Growing Problem of Scientific Datasets That Exist Only on Paper

Across academic literature, thousands of datasets are formally cited in published research but are effectively unreachable—deleted, misfiled, or never properly deposited in the first place. This phantom layer of scientific evidence quietly corrupts the citation chains that peer review depends on, leaving researchers unable to verify foundational claims. The problem is more widespread than the scientific community has publicly acknowledged.
Readable Yesterday, Gone Today: The Silent Crisis of Format Obsolescence in Public Research Data
Agricultural Science

Readable Yesterday, Gone Today: The Silent Crisis of Format Obsolescence in Public Research Data

Thousands of publicly funded research datasets sit in open-access repositories today, technically available yet practically unreachable — locked inside file formats that modern software can no longer parse. From early Excel workbooks to discontinued statistical packages, format decay is erasing scientific knowledge without a single record being deleted. The problem is structural, underappreciated, and accelerating.
Paper Promises: Why Federal Data-Sharing Mandates Rarely Survive Contact With Reality
Medical Research & Policy

Paper Promises: Why Federal Data-Sharing Mandates Rarely Survive Contact With Reality

NIH and NSF now require data management plans as a condition of federal funding, yet follow-through remains largely ceremonial. A close examination of grant administration practices reveals a system in which non-compliance carries little consequence, and the data those mandates were designed to protect quietly disappears.