πŸ† Finalist β€” NIH Data Sharing Index (β€œS-Index”) Challenge

Measure what citations miss

Discover Your Data's Imprint

Search any DOI. In seconds, see a citation-only 1-hop DataRank score built from the paper's citations and its citing network.

β€”papersβ€”datasetsβ€”authorsβ€”institutionsβ€”fundersβ€”citations
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus β€” DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

Why DataRank

Citations tell one story. Datasets tell another.

Data sharing accelerates discovery, enables reproducibility, and compounds scientific value for decades. DataRank is the standard metric that finally captures it.

01

1-Hop Graph Signal

A single-step citation propagation across OpenAlex citers, weighted by each citer's citation strength and reference outdegree.

02

Citation-Only Base

Each seed paper gets a base score B(p)=log1p(citation_count), then damping blends base and network components.

03

Instant Percentile Ranking

Every paper gets a corpus percentile (1–100), giving researchers, funders, and institutions a clear, comparable benchmark.

Phase 1 corpus

NIH-funded biomedical research, scored

Our curated Phase 1 corpus covers NIH-funded data papers β€” papers whose main contribution is a shared dataset, identified by our DrPaper classifier β€” scored, ranked, and expanding periodically. Any paper with a DOI can be scored on demand.

Papers indexed

Datasets indexed

Authors tracked

Institutions

Funders indexed

Citation edges

Phase 1 covers NIH-funded biomedical research. The corpus expands periodically.

API

Build on DataRank

Every score, ranking, and citation network on theSindex is served by a free, open REST API β€” no key required. Pull DataRank into your own analysis, dashboards, or tools.

Open REST API

Query papers, authors, institutions, and citation graphs over JSON. Interactive docs are auto-generated from the OpenAPI spec.

CSV export

Download ranked papers with full DataRank breakdowns β€” base score, citation-network contribution, corpus percentile, and more.

98.4Top 2%

DataRank percentile

How it works

From DOI to DataRank in seconds

1

Enter any DOI

Paste a DOI from any published paper. We query CrossRef and OpenAlex in real time, plus enrichment metadata services.

2

Compute base score

Compute the seed base score from citation count only: B(p)=log1p(citation_count).

3

Apply 1-hop propagation

Aggregate citer citation signal N(p)=Ξ£ log1p(Cq)/outdeg(q), excluding self-citations, then blend with damping d=0.85.

4

Get your DataRank

Receive a DataRank score, corpus percentile, and a full breakdown of what contributed to the result.

Ready to see the full picture?

Search any DOI. In seconds you'll get a DataRank score, corpus percentile, and the complete story of how that paper's data drives science forward.