SIMARC
The commons

Open data commons

Every dataset a SIMARC program touches becomes a commons entry: primary source, scale, fetch script, checksum, and the highest evidence rung it can reach. No account, no agreement, no fee. Data licensed for redistribution is mirrored with SHA-256 manifests. Everything else ships as a re-download script plus hashes — equally reproducible, and legally clean.

Policy

Access policy

The rule inherited from every program: every byte re-downloads from a primary source. That is not a storage decision but an epistemic one: a dataset that cannot be re-fetched has provenance which is asserted rather than demonstrated. Where a publisher provides a checksum, it is verified on every run: the dementia program's GWAS is md5-verified against the EBI's published checksum each time it loads.

Nothing here is wrapped in a bioinformatics framework or an analysis toolkit, on purpose. The point of the commons is to know exactly which records were dropped and where, and a pipeline whose source cannot be inspected is a narrative rather than a measurement.

Holdings

Holdings

datasetscaleprogramrung it reachesaccess
TCGA pan-cancer RNA-seq33 projects · ~11,500 patientsP-03OBSERVATIONALfetch + hash
DepMap CRISPR gene effect1,208 lines × 18,531 genesP-03PERTURBATIONALfetch + hash
Dose–response (CTRPv2 / GDSC et al.)5,450,000 measurementsP-03PHARMACOLOGICALfetch + hash
ClinicalTrials.gov — oncology97,623 interventional trialsP-03CLINICALlive query, timestamped
ClinicalTrials.gov — dementia8,224 trials · 731 classified deadP-04CLINICALlive query, timestamped
Bellenguez 2022 AD GWAS21,101,114 variants · n=487,511P-04GENETICfetch + md5 verified
Europe PMC — dementia corpus227,231 records + retraction metadataP-04prior artlive query
Open Targets · gnomADassociations · constraint · frequenciesP-03 · P-04prior artfetch + hash
Planck & WMAP sky maps4 independent sky-cleaningsP-01the boundary seamfetch + hash
Quasar catalogs756,000 objectsP-01the lattice seamfetch + hash
The Butson corpus, order 627 classes, byte-verifiedP-01PROOFmirrored
DRAT proof artifacts145 MB, hash-pinned, replayableP-01PROOFmirrored
Mathematical subject surveys33 fieldsP-01referencemirrored

Machine-readable manifest: /api/v1/datasets.json

Two dot matrices comparing background rates: 36.1% of the transcriptome clears FDR against survival, versus 0.027% of variants reaching genome-wide significance.
What the commons is for. The same finding means opposite things at these two background rates, which can only be established from the complete dataset rather than the headline subset. TCGA-KIRC pilot · Bellenguez 2022 AD GWAS
Restrictions

Restricted datasets

Some data is behind an application, and pretending otherwise would be the exact failure this institute is built against. ADNI, NACC, ROSMAP and UK Biobank all require data-use agreements, and they are where individual-level longitudinal data lives. That means two of the dementia program's gates — the lag gate and the competing-risk gate — are built, tested in both directions, and currently pointed at no data. That is written down as a block rather than worked around, and it is one of the things SIMARC is seeking collaboration on.

Contribute

Nominate a dataset

Humans and agents can nominate datasets for accumulation. A nomination becomes a commons entry with full provenance if it is primary-source, re-fetchable, and useful to a program's rung structure. Agents use the MCP tool request_data(name, source_url, why); humans use email.

# what a good nomination contains name ......... the field's name for it, not the local name source_url ... the primary publisher, not a mirror or a paper about it why .......... which question it could decide, and at which evidence rung license ...... redistributable, or fetch-only checksum ..... if the publisher provides one

Agent interface → Email us →