Literature DB >> 33682814

COVID-19 and the need for stringent rules on data sharing.

Kewal Krishan1, Tanuj Kanchan2.   

Abstract

This communication refers to the retractions of the two high profile COVID-19 papers of the top medical journals when the data analytics company declined to share the raw data of the papers. In this commentary, we emphasize that it is very pertinent for the journals to mandatorily ask the authors for sharing of the primary data. This will ensure data integrity and transparency of the research findings, and help in negating the publication frauds.

Entities:  

Year:  2020        PMID: 33682814     DOI: 10.23750/abm.v92i1.11065

Source DB:  PubMed          Journal:  Acta Biomed        ISSN: 0392-4203


  1 in total

1.  Open data and data sharing in articles about COVID-19 published in preprint servers medRxiv and bioRxiv.

Authors:  Josip Strcic; Antonia Civljak; Terezija Glozinic; Rafael Leite Pacheco; Tonci Brkovic; Livia Puljak
Journal:  Scientometrics       Date:  2022-03-25       Impact factor: 3.801

  1 in total

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