Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Spyglass: a framework for reproducible and shareable neuroscience research

eLife(2025)10.7554/elife.108089Source: DataRank Database

Spyglass: a framework for reproducible and shareable neuroscience research is a research paper published in eLife (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)OA: goldTopics (25)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (29)

Eric L. Denovellis ORCID,Ryan Ly ORCID,Jeremy F. Magland ORCID,Jeff Soules ORCID,Alison E. Comrie ORCID

Live enrichment

PubMed:19910364 OpenAlex:https://openalex.org/W4414534291

HHS | NIH | National Eye Institute

Grant: 1K99EY036953

National Institutes of Health

Grant: RF1MH130623

HHS | National Institutes of Health

Grant: RF1MH133778

National Institutes of Health

Grant: 1RF1MH133778-01

Unified, Scalable, and Reproducible Neurostatistical Software

National Institutes of Health

Grant: 1RF1MH130623-01

Statistical machine learning tools for understanding neural ensemble representations and dynamics

goldLicense: cc-by

journalhttps://doi.org/10.7554/elife.108089

publisherhttps://doi.org/10.7554/elife.108089

publisherhttps://cdn.elifesciences.org/preprints/108089/elife-preprint-108089-v2.pdf

publisherhttps://cdn.elifesciences.org/preprints/108089/elife-preprint-108089-v2.xml

publisherhttps://elifesciences.org/reviewed-preprints/108089v2/pdf

Fields of Study

Cell Image Analysis TechniquesSingle-cell and spatial transcriptomics02 engineering and technology0202 electrical engineering, electronic engineering, information engineering

Keywords

BespokeContext (archaeology)Pipeline (software)Raw dataSoftwareReplication (statistics)Data sharingReuseData management570Networking and Information Technology R&D (NITRD) (rcdc)Data Science (rcdc)Neurosciences610ArticleMachine Learning46 Information and Computing Sciences (for-2020)Networking and Information Technology R&D (NITRD)Information and Computing Sciences4611 Machine Learning (for-2020)Neurosciences (rcdc)