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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Workflow for detecting biomedical articles with openly available underlying datasets - Datasets and extraction forms

Authors: Anastasiia Iarkaeva; Vladislav Nachev; Evgeny Bobrov;

Workflow for detecting biomedical articles with openly available underlying datasets - Datasets and extraction forms

Abstract

The open data screening datasets contain both automatically detected (TRUE) Open Data statements by ODDPub, and its manual validation using Numbat extraction tool. Furthermore, extraction forms for both screenings – 2020 and 2021 – are included. The manually processed dataset for the calculation of the inter-rater reliability of manual validation can be also found here. (i) Data from articles published in 2020 (file ‘charite_open_data_2020.csv’) have been collected applying a slightly different sequence of questions in the extraction workflow than the articles published in 2021 (file ‘charite_open_data_2021.csv’). Both datasets were cleaned for any personal data or internal comments. Thus, they do not contain the default columns which in the raw export from Numbat contained commentaries regarding different question. Also, in another regard these files do not represent raw outputs of the Numbat extraction tool, but a processed version. This means that articles validated by more than two raters were first reconciled in Numbat, resulting in one final decision (output of extractions after reconciliation). Then from the output of extractions before reconciliation those articles validated by only 1 rater (and thus not part of the inter-rater reliability calculation) were selected, which were afterwards joined with the already reconciled dataset. The actual decision about Openness of validated dataset can be analysed in various ways: Column ‘open_data_assessment’/’assessment’ shows a binary decision between Open Data TRUE and FALSE. If that column indicates ‘NULL’, the dataset was classified into ‘non’-open category, and the result can be found on one of the following ways: Column ‘reference_to_data’ as ‘n_a’ for excluded articles, e.g. not producing any data. Column ‘data_access’ as ‘restricted’. Column ‘own_or_reuse_data’ as ‘open_data_reuse’. The original extraction form contains an option ‘unsure_open_data’ besides ‘open_data’/’no_open_data’ which was resolved either during reconciliation between multiple raters or by case-related consultation with a second rater in case of doubt, and is not included here. (ii) The inter-rater reliability calculation was made on randomly selected 100 articles for 2 raters. The third rater screened 20 articles sample, which is part of 100 sample. The tables provided here include both article-level data, and dataset-level data. (iii) The Numbat extarction forms used for the screenings in 2020 and 2021 are included in two formats - JSON and Markdown. (iv) ‘data_dictionary_open_data.csv’ table documents all variables of each data file containing here.

Keywords

Data Sharing, Restricted-Access Data, Open Science, Open Data, Screening, Data Reuse, Assessment, Repositories

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selected citations
These citations are derived from selected sources.
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!
views
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