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

Julia Foreman

European Bioinformatics Institute

ORCID: 0000-0003-4567-2479
Biochemistry, Genetics and Molecular BiologyAgricultural and Biological Sciences

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 4%percentile
0.791Author DataRank

Indexed papers

2in 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 2 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.

EMBL’s European Bioinformatics Institute (EMBL-EBI) in 2024

Nucleic Acids Research(2024)10.1093/nar/gkae1089
Top 42%
0.447DataRank
Top 42%14 citations

Cath Brooksbank, ROBERT FINN, Helen V. Firth, Julia Foreman, Mallory Freeberg +21 more

Papers

Driven by 6 papers — median percentile 53. Top paper: “Guidelines for releasing a variant effect predictor”.

Guidelines for releasing a variant effect predictor

Genome biology(2025)10.1186/s13059-025-03572-z
N/A
0.500DataRank · unranked
27 citations

Mihaly Badonyi, Mafalda Dias, Jonathan Frazer, Sushant Kumar, Kresten Lindorff‐Larsen +13 more

EMBL’s European Bioinformatics Institute (EMBL-EBI) in 2024

Nucleic Acids Research(2024)10.1093/nar/gkae1089
Top 42%
0.447DataRank
Top 42%14 citations

Cath Brooksbank, ROBERT FINN, Helen V. Firth, Julia Foreman, Mallory Freeberg +21 more

Toward robust clinical genome interpretation: Developing a consistent terminology to characterize Mendelian disease-gene relationships—allelic requirement, inheritance modes, and disease mechanisms

Genetics in Medicine(2023)10.1016/j.gim.2023.101029
N/A
0.434DataRank · unranked
17 citations

Marina T. DiStefano, Erin Rooney Riggs, Katherine Josephs, Fowzan S. Alkuraya, Joanna Amberger +21 more

Mapping MAVE data for use in human genomics applications

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.20.545702
Top 51%
0.343DataRank
Top 51%6 citations

Estelle Y. Da, James Stevenson, Kori Kuzma, Anika Paul, Tierra R. Farris +14 more

Towards robust clinical genome interpretation: developing a consistent terminology to characterize disease-gene relationships - allelic requirement, inheritance modes and disease mechanisms

medRxiv(2023)10.1101/2023.03.30.23287948
N/A
0DataRank · unranked
7 citations

Marina T. DiStefano, Erin Rooney Riggs, Katherine Josephs, Fowzan S. Alkuraya, Joanna Amberger +21 more

Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023

European Journal of Human Genetics(2024)10.1038/s41431-024-01566-2
N/A
0DataRank · unranked
22 citations

Alice Garrett, Lara A. Muffley, Shawn Fayer, Julia Foreman, David J. Adams +7 more