This document provides the underlying dataset for the bibliometric component for the 2022 study "From intent to impact: Investigating the effects of open sharing commitments" by Research Consulting and Science-Metrix. Before reproducing the study findings or re-using the underlying datasets for other purposes, please cautiously review their limitations in the study's technical annex and main report, available at: https://zenodo.org/communities/data-sharing-in-public-health-emergencies/ Special thanks from the Science-Metrix / Elsevier teams to Euan Adie and Overton for this exceptional public release of Overton metadata, and for conducting extraordinary data collection to retrieve citations towards arXiv preprints. Scope: note that this file combines cited journal publications and preprints from the Covid19, HVRD, Zika and HVVD thematic sets. Data treatment: this data is intend foremost to provide manual validation or qualitative triangulation of our findings. No special efforts have been made to process and clean the data for its eventual re-use in secondary analysis or text mining approaches. Definitions used in this table: Column name Definition document_type preprint or journal publication doi digital object identifier arxiv_id arXiv preprint server's unique identifier for its preprints ssrn_id SSRN preprint server's unique identifier for its preprints. Note that some of these IDs are contained within the DOIs also assigned to some (but not all) SSRN preprints , in the form of "10.2139/ssrn." + 'ssrn_id' coalesce_id coalesce function applied to the DOI, arxiv_id and ssrn_id. Redundant for journal publications. policy_source_title name of the policy-related organization published_on publication date of the citing policy-related document title title of the citing policy-related document pdf_url URL for the online version of the policy-related document snippet Where available, excerpt of the text immediatly before and after the citation to a journal publication or preprint found in the citing policy-related document

This study has been funded by Wellcome, UK Research and Innovation (UKRI) and the Bill & Melinda Gates Foundation.