Summary information

Study title

Data: Experience with Posting Preprints During the COVID-19 Pandemic

Creator

Biesenbender, Kristin ( ZBW – Leibniz Information Centre for Economics)

Study number / PID

10.7802/2552 (GESIS)

10.7802/2552 (DOI)

Data access

Information not available

Series

Not available

Abstract

During the COVID-19 pandemic, it became much more important for many researchers in the life science to disseminate preliminary versions of their results from one day to the next. This kind of “saving the world” feeling led to a search for ways to circumvent the lengthy publication procedures for journal articles, and many researchers decided to post preprints as an upstream publication option. This was a new phenomenon in the life sciences, so it is interesting to study this development and find out whether this is a temporary phenomenon or the beginning of a cultural change in publishing behavior in the life sciences. To gain initial insights into this, we conducted a quantitative survey of authors of COVID-19 related preprints in September 2022. The 25 survey questions were grouped into five parts: a) experiences with posting preprints during the COVID-19 pandemic, b) motivations for posting preprints, c) concerns about posting preprints, d) role of research institutions or research funders and e) future development. The survey contained single- and multiple-choice questions. We received 1,131 completed responses (response rate: 4.9%) from researchers who posted preprints on COVID-19 on the selected preprint servers bioRxiv, medRxiv and Research Square. Preliminary findings suggest that the large prevalence of preprints in the pandemic may lead to a lasting change in publishing behavior.

Topics

Not available

Methodology

Data collection period

14/09/2022 - 30/09/2022

Country

Time dimension

Not available

Analysis unit

Not available

Universe

researcher who deposited preprints on COVID-19 on the preprint servers bioRxiv, medRxiv, Research Square

Sampling procedure

Not available

Kind of data

Not available

Data collection mode

Selbstausfüller:CAWI(Computerunterstütztes Web-Interview)

Access

Publisher

GESIS Data Archive for the Social Sciences

Publication year

2023

Terms of data access

Free access (without registration) - The research data can be downloaded directly by anyone without further limitations. CC BY 4.0: Namensnennung (https://creativecommons.org/licenses/by/4.0/deed.de)

Related publications

Not available