Dataset_1_Genres and languages in science communication: the multiple dimensions of the science-policy interface_ Survey_design_Scientific_communication_in_the_digital_age

Published: 8 March 2021| Version 1 | DOI: 10.17632/wr3x9pkygz.1
Contributor:
CARMEN PEREZ-LLANTADA

Description

Description: Survey "Scientific communication in the digital age" This survey design seeks to map researchers’ scientific knowledge dissemination practices in the context of increased digitization of academic and research communication. The specific goals of the survey are, firstly, to gain further insights into the ways in which research knowledge is disseminated worldwide and, secondly, to better understand how the affordances of technologies support researchers’ knowledge dissemination practices. The results of the survey will inform the teaching/learning of academic and research writing in higher education institutions. They are also expected to feed into the current scholarly debate on how to best inform policymakers to promote and enhance multilingual science communication on the Internet. For further details see associated Datasets 2 & 3: PEREZ-LLANTADA, CARMEN (2021), “Dataset_2_Genres and languages in science communication: the multiple dimensions of the science-policy interface_Results of the descriptive statistical analysis”, Mendeley Data, V1, doi: 10.17632/ypxnj8wjj7.1 http://dx.doi.org/10.17632/ypxnj8wjj7.1 PEREZ-LLANTADA, CARMEN (2021), “Dataset_3_Genres and languages in science communication: the multiple dimensions of the science-policy interface_ Cross-disciplinary trends of language choice in professional and public communication of science online”, Mendeley Data, V1, doi: 10.17632/7rb7tvybd6.1 http://dx.doi.org/10.17632/7rb7tvybd6.1

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Steps to reproduce

Please read the associated article Genres and languages in science communication: the multiple dimensions of the science-policy interface, published in Language and Communication. See also its associated Datasets 2 and 3 for further details regarding the steps to reproduce this study.

Institutions

Universidad de Zaragoza, Universidad de Zaragoza Instituto de Biocomputacion y Fisica de Sistemas Complejos

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