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

Danielle Bragg

Microsoft (United States)

ORCID: 0000-0002-7846-3481
Computer SciencePsychologyNeuroscienceSocial 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 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.

The FATE Landscape of Sign Language AI Datasets

ACM Transactions on Accessible Computing(2021)10.1145/3436996
Top 14%
1.5DataRank
Top 14%49 citations

Naomi Caselli, Julie Hochgesang, Matt Huenerfauth, Leah Katz-Hernandez, Oscar Koller +4 more

Papers

Driven by 1 paper — median percentile 86. Top paper: The FATE Landscape of Sign Language AI Datasets.

The FATE Landscape of Sign Language AI Datasets

ACM Transactions on Accessible Computing(2021)10.1145/3436996
Top 14%
1.5DataRank
Top 14%49 citations

Naomi Caselli, Julie Hochgesang, Matt Huenerfauth, Leah Katz-Hernandez, Oscar Koller +4 more