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

Significant lagrangian linear hotspot discovery

(2020)10.1145/3423457.3429368Source: DataRank Database

Significant lagrangian linear hotspot discovery is a research paper (2020). On theSindex it has a DataRank of 0. It has been cited 5 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access5 citations

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 (3 grants)OA: goldIDs (PubMed)

Context only (not used in score)

Findable (1/2)

Accessible (1/2)

Interoperable (0/2)

Reusable (0/3)

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

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

Live enrichment

U.S. Department of Defense

Grant: HM0476-20-1-0009

National Science Foundation

Grant: 2040459, 1737633, 1901099

U.S. Department of Agriculture

Grant: 2017-51181-27222

goldLicense: https://www.acm.org/publications/policies/copyright_policy#Background