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

Nick Williams

National Institutes of Health

ORCID: 0000-0002-3541-5586

Also affiliated with Southwestern Oklahoma State University, Wellcome Sanger Institute, National Center for Biotechnology Information, University of Commercial Sciences

MedicineMathematicsBiochemistry, Genetics and Molecular BiologyHealth Professions

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
1.0Author DataRank

Indexed papers

3in 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 3 indexed papers 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.

Analysis of data dictionary formats of HIV clinical trials

PLoS ONE(2020)10.1371/journal.pone.0240047
Top 36%
0.534DataRank
Top 36%9 citations

Nick Williams, Vojtech Huser, Craig S. Mayer

Papers

Driven by 9 papers — median percentile 40. Top paper: “Analysis of data dictionary formats of HIV clinical trials”.

Analysis of data dictionary formats of HIV clinical trials

PLoS ONE(2020)10.1371/journal.pone.0240047
Top 36%
0.534DataRank
Top 36%9 citations

Nick Williams, Vojtech Huser, Craig S. Mayer

Considering non-hospital data in clinical informatics use cases, a review of the National Emergency Medical Services Information System (NEMSIS)

Informatics in Medicine Unlocked(2022)10.1016/j.imu.2022.101129
Top 60%
0.253DataRank
Top 60%2 citations

Nick Williams

Building the observational medical outcomes partnership's T-MSIS Analytic File common data model

Informatics in Medicine Unlocked(2023)10.1016/j.imu.2023.101259
Top 60%
0.247DataRank
Top 60%3 citations

Nick Williams

Too sick for surveillance: Can federal HIV service data improve federal HIV surveillance efforts?

arXiv (Cornell University)(2023)10.48550/arxiv.2304.10023
N/A
0DataRank · unranked
0 citations

Nick Williams

Retrospective diagnostic co-factors among Covid-19 cases sourced from Medicare, 1999-2021: an all-cause mortality review

Research Square(2023)10.21203/rs.3.rs-3006460/v1
N/A
0DataRank · unranked
0 citations

Nick Williams

Modifiable Areal Unit Problems for Infectious Disease Cases Described in Medicare and Medicaid Claims, 2016-2019

Research Square(2024)10.21203/rs.3.rs-4004950/v2
N/A
0DataRank · unranked
0 citations

Nick Williams

Excess CMS morbidity and FEMA declarations: Phenome wide association study of generalized linear model interactions between CMS diagnostic code utilization and FEMA incident types, 1999–2020

Informatics in Medicine Unlocked(2025)10.1016/j.imu.2025.101716
N/A
0DataRank · unranked
0 citations

Nick Williams

Linking Provider Specialty and Outpatient Diagnoses in Medicare Claims Data: Data Quality Implications

Applied Clinical Informatics(2021)10.1055/s-0041-1732404
N/A
0DataRank · unranked
3 citations

Nick Williams, Craig S. Mayer, Vojtech Huser

Prehospital Cardiac Arrest Should be Considered When Evaluating Coronavirus Disease 2019 Mortality in the United States

Methods of Information in Medicine(2023)10.1055/a-2015-1244
N/A
0DataRank · unranked
1 citations

Nick Williams