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Dataset . 2020
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Data sources: Datacite
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Doing Science in Times of Covid-19: A Survey

Authors: Roex, Karlijn; Colavizza, Giovanni;

Doing Science in Times of Covid-19: A Survey

Abstract

Abstract This NWO Corona Fast-Track Data study is a two-wave (non-panel) survey of academic researchers working at Dutch research institutions. Through this survey research we aimed to study scientists’ information gathering and spreading behaviour with regard to the latest scientific information on COVID-19. In the midst of the COVID-19 pandemic, the expertise of researchers from medicine and biology, but also social sciences, humanities and economics is urgently needed to counter misinformation. In order to gain timely and otherwise lost insights on how to improve science communication during this crisis, we collected the data in two survey waves. The first wave survey data were collected between 9 June and 31 August; the second between 26 October and 30 November 2020. Contents: - Covid-19 Survey Methodology: here you will find a technical report, demographic tables and some general information about the survey project. - Covid-19 Survey Questionnaire: here you will find the full questionnaire used for the project. - Covid-19 Survey Codebook: here you will find the variables names and their explanation. - June5_August31_2020: here you will find the Wave 1 survey data (June-August 2020) - Oct26_Nov30_2020: here you will find the Wave 2 survey data (October-November 2020) Funding: This dataset was funded under the NWO Corona Fast-Track Data scheme. Project id: 440.20.028; Project title: “Collecting systematic survey data on scientists’ information-seeking and information-spreading behaviour in a time of crisis”. How to cite Roex, K. & Colavizza, G. (2020). Doing Science in Times of Covid-19: A Survey. [Data set]. Zenodo. http://doi.org/10.5281/zenodo.4313278 .

Country
Netherlands
Related Organizations
Keywords

covid-19, netherlands, science studies, science communication

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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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