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

Samuel Moore

University of Cambridge

ORCID: 0000-0002-0504-2897

Also affiliated with Coventry University

Decision SciencesArts and HumanitiesComputer Science

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
0.589Author 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.

Reading Peer Review

Cambridge University Press eBooks(2020)10.1017/9781108783521
Top 33%
0.589DataRank
Top 33%13 citations

Cameron Neylon, Daniel Paul O’Donnell, Samuel Moore, Robert Gadie, Victoria Odeniyi +2 more

Papers

Driven by 1 paper — median percentile 67. Top paper: “Reading Peer Review”.

Reading Peer Review

Cambridge University Press eBooks(2020)10.1017/9781108783521
Top 33%
0.589DataRank
Top 33%13 citations

Cameron Neylon, Daniel Paul O’Donnell, Samuel Moore, Robert Gadie, Victoria Odeniyi +2 more