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

Tara Eicher

Harvard University

ORCID: 0000-0003-1809-4458
NeurosciencePsychology

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 1%percentile
5.2Author 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.

Real-time sharing of drug screening data on the NCATS OpenData Portal accelerates translational research

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.04.135046
Top 7%
3.3DataRank
Top 7%108 citations

Tongan Zhao, Richard T. Eastman, Xin Hu, Ke Wang, Mark Backus +31 more

Papers

Driven by 7 papers — median percentile 88. Top paper: “Real-time sharing of drug screening data on the NCATS OpenData Portal accelerates translational research”.

Real-time sharing of drug screening data on the NCATS OpenData Portal accelerates translational research

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.04.135046
Top 7%
3.3DataRank
Top 7%108 citations

Tongan Zhao, Richard T. Eastman, Xin Hu, Ke Wang, Mark Backus +31 more

RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from metabolites, proteins, and genes

Bioinformatics(2022)10.1093/bioinformatics/btac726
Top 12%
1.8DataRank
Top 12%62 citations

Andrew Patt, Cole Tindall, Timothy Sheils, Jorge Neyra, Kyle Spencer +3 more

RaMP-DB 2.0: a renovated knowledgebase for deriving biological and chemical insight from genes, proteins, and metabolites

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.01.19.476987
Top 70%
0.165DataRank
Top 70%2 citations

Andrew Patt, Cole Tindall, Tara Eicher, Timothy Sheils, Jorge Neyra +3 more

Consistent Multi-Omic Relationships Uncover Molecular Basis of Pediatric Asthma IgE Regulation

medRxiv(2024)10.1101/2024.06.05.24308502
N/A
0.165DataRank · unranked
2 citations

Rachel S. Kelly, John Braisted, Jalal Siddiqui, Juan C. Celedón, Clary B. Clish +7 more

IntLIM 2.0: identifying multi-omic relationships dependent on discrete or continuous phenotypic measurements

Bioinformatics Advances(2023)10.1093/bioadv/vbad009
N/A
0DataRank · unranked
4 citations

Kyle Spencer, Jalal Siddiqui, Raghu Machiraju, Ewy A. Mathé, Tara Eicher

Finding Salient Multi-Omic Interactomes Relevant to Multiple Biomedical Outcomes using Graph Ensemble Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.28.630633
N/A
0DataRank · unranked
0 citations

Jany Chan, Aline Paixão Becker, S. Jaharul Haque, Jessica L. Fleming, Joseph P. McElroy +13 more

Self-organizing maps with variable neighborhoods facilitate learning of chromatin accessibility signal shapes associated with regulatory elements

BMC Bioinformatics(2021)10.1186/s12859-021-03976-1
N/A
0DataRank · unranked
1 citations

Jany Chan, Han Luu, Raghu Machiraju, Ewy A. Mathé, Tara Eicher