🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 6%percentile
0.220Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

CACER: Clinical concept Annotations for Cancer Events and Relations

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae231
Top 63%
0.220DataRank
Top 63%3 citations

Giridhar Kaushik Ramachandran, Ahmad Halwani, Bridget T. McInnes, Fei Xia, Kevin Lybarger +3 more

Papers

Driven by 2 papers — median percentile 37. Top paper: CACER: Clinical concept Annotations for Cancer Events and Relations.

CACER: Clinical concept Annotations for Cancer Events and Relations

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae231
Top 63%
0.220DataRank
Top 63%3 citations

Giridhar Kaushik Ramachandran, Ahmad Halwani, Bridget T. McInnes, Fei Xia, Kevin Lybarger +3 more

1 citations

Katherine I. Zhou, Zachary Burningham, Kerry Rowe, Tori Anglin-Foote, Mark Maddox +6 more