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

David Madigan

Northeastern University

ORCID: 0000-0001-9754-1011

Also affiliated with Eastern University

Computer ScienceMathematicsEconomics, Econometrics and Finance

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 3%percentile
1.5Author 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.

Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI

Yearbook of Medical Informatics(2021)10.1055/s-0041-1726481
Top 14%
1.5DataRank
Top 14%46 citations

Martijn J. Schuemie, David Madigan, Patrick Ryan, Marc A. Suchard, George Hripcsak

Papers

Driven by 6 papers — median percentile 86. Top paper: “Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI”.

Drawing Reproducible Conclusions from Observational Clinical Data with OHDSI

Yearbook of Medical Informatics(2021)10.1055/s-0041-1726481
Top 14%
1.5DataRank
Top 14%46 citations

Martijn J. Schuemie, David Madigan, Patrick Ryan, Marc A. Suchard, George Hripcsak

Combining cox regressions across a heterogeneous distributed research network facing small and zero counts

Statistical Methods in Medical Research(2021)10.1177/09622802211060518
N/A
0.165DataRank · unranked
2 citations

Yong Chen, David Madigan, Marc A. Suchard, Martijn J. Schuemie

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa103
N/A
0DataRank · unranked
51 citations

Patrick Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz +4 more

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa124
N/A
0DataRank · unranked
34 citations

Patrick Ryan, Nicole Pratt, Ruijun Chen, Seng Chan You, Harlan M. Krumholz +4 more

Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies

arXiv (Cornell University)(2020)10.48550/arxiv.2003.06002
N/A
0DataRank · unranked
0 citations

David Madigan, George Hripcsak, Jami J. Mulgrave

Bayesian Posterior Interval Calibration to Improve the Interpretability of Observational Studies

Statistical Analysis and Data Mining The ASA Data Science Journal(2024)10.1002/sam.11715
N/A
0DataRank · unranked
0 citations

David Madigan, George Hripcsak, Jami J. Mulgrave