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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
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Final Dataset for the DIssemination of REgistered COVID-19 Clinical Trials (DIRECCT) Study

Authors: Salholz-Hillel, Maia; Pugh-Jones, Molly; Hildebrand, Nicole; Schult, Tjada A.; Schwietering, Johannes; Grabitz, Peter; Carlisle, Benjamin Gregory; +3 Authors

Final Dataset for the DIssemination of REgistered COVID-19 Clinical Trials (DIRECCT) Study

Abstract

The DIRECCT study is a multi-phase examination of clinical trial results dissemination during the COVID-19 pandemic. Interim data for trials completed during the first six months of the pandemic (i.e., 1 January 2020 – 30 June 2020) was previously deposited at https://doi.org/10.5281/zenodo.4669936. This data deposit comprises the results of searches for trials completed during the first 18-months of the pandemic (i.e., 1 January 2020 – 30 June 2021). The data structure for the final phase of the project is not identical to the interim data as it was substantially more complex. The data include datatables (CSVs) that can be treated as relational and joined on the `id` or `trn` columns. See datamodel.png for an overview of the data. Details on data sources and methods for the creation and analysis of this dataset are available in a detailed protocol (Version 3.1, 19 July 2023) : https://osf.io/w8t7r Note: This repository will be updated with additional information including a codebook and archives of raw data. Additional information on the project is available at the project's OSF page: https://doi.org/10.17605/osf.io/5f8j2.

The DIRECCT project is part of the CEOsys (COVID-19 Evidence Ecosystem) project funded within the Network of University Medicine (Nationales Forschungsnetzwerk der Universitätsmedizin—NUM) by the Federal Ministry of Education and Research of Germany (Bundesministerium für Bildung und Forschung—BMBF). FKZ: 01KX2021.

Keywords

clinical trials, SARS-CoV-2, results reporting, COVID-19

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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