Core bibliometric Covid19 and comparable research dataset and code for the study "From intent to impact: Investigating the effects of open sharing commitments"

Description

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/ Particularly, note that there is an error rate in attribution of signatory status to journal publications and preprints; in their location within specific thematic disease-based areas; or computing of dimension such as identification of data availability statement sections; identification of data depisition mentions within data availability statement sections; or matching of preprints and journal publications. These error rates are expected and have been estimated, please consult the technical report for full details. Definition of data fields is provided is the table below: Column name Definition document type preprint or journal publication doi digital object identifier arxiv id arXiv preprint…

Description from Zenodo, shortened.

Files (4)

• CSVLongevityDataset_ZikaHVVD_20220615.csv10 MB
• HTMLCode_OpenSharingCommitments_HTMLversion_20220615.html1.2 MB
• CSVCoreDataset_Covid19HVRD_20220615.csv96 MB
• SQLCode_OpenSharingCommitments_SQLversion_20220615.sql31 kB

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