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

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data

arXiv (Cornell University)(2024)10.48550/arxiv.2406.02191Source: DataRank Database

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data is a research paper published in arXiv (Cornell University) (2024). On theSindex it has a DataRank of 0. It has been cited 1 time.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

Free full text

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 (4 grants)OA: greenTopics (11)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 (3)

Mingming Gong ORCID,Kun Zhang ORCID,Shunxing Fan

Live enrichment

PubMed:20819859 OpenAlex:https://openalex.org/W4399418264

Australian Research Council (ARC)

Grant: DE210101624

Discovery Early Career Researcher Award - Grant ID: DE210101624

Australian Research Council (ARC)

Grant: DP240102088

Discovery Projects - Grant ID: DP240102088

National Institutes of Health

Grant: 5R01HL159805-07

Interpretable graphical models for large multi-modal COPD data (R01HL159805)

National Science Foundation

Grant: 2229881

AI Institute for Societal Decision Making (AI-SDM)

greenLicense: cc-by-nc-nd

repositoryhttps://arxiv.org/pdf/2406.02191

repositoryhttp://arxiv.org/abs/2406.02191

repositoryhttps://doi.org/10.48550/arxiv.2406.02191

https://dx.doi.org/10.48550/arxiv.2406.02191

https://proceedings.mlr.press/v235/fan24a.html

Fields of Study

Advanced Database Systems and QueriesSemantic Web and OntologiesScientific Computing and Data Management0101 mathematics01 natural sciences

Keywords

Computer scienceFOS: Computer and information sciencesComputer Science - Machine LearningStatistics - Machine LearningMachine Learning (stat.ML)Machine Learning (cs.LG)