Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research

This study is a follow-up to previous research on the use of a transdisciplinary approach in the analysis of factors that influence bioeconomy development and interactions between them. It is very important to consider the significance of public opinion while performing transdisciplinary research. T...

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Main Authors: Muizniece Indra, Kubule Anna, Zihare Lauma, Blumberga Dagnija
Format: Article
Language:English
Published: Sciendo 2020-09-01
Series:Environmental and Climate Technologies
Subjects:
Online Access:https://doi.org/10.2478/rtuect-2020-0058
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spelling doaj-8de280cf5e334b058df034013f73104c2021-09-05T14:01:33ZengSciendoEnvironmental and Climate Technologies2255-88372020-09-0124210311410.2478/rtuect-2020-0058rtuect-2020-0058Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy ResearchMuizniece Indra0Kubule Anna1Zihare Lauma2Blumberga Dagnija3Institute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, Riga, LV–1048, LatviaInstitute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, Riga, LV–1048, LatviaInstitute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, Riga, LV–1048, LatviaInstitute of Energy Systems and Environment, Riga Technical University, Azenes iela 12/1, Riga, LV–1048, LatviaThis study is a follow-up to previous research on the use of a transdisciplinary approach in the analysis of factors that influence bioeconomy development and interactions between them. It is very important to consider the significance of public opinion while performing transdisciplinary research. This study integrates public opinion in the bibliometric analysis method by using grey data from information available in the public information space: mass media and social networks. The network of factors influencing the development of bioeconomy, created with the help of social network analysis method, was compared with the one obtained from bibliometric analysis of SCOPUS database in order to find out the difference between scientific tendencies and the overall atmosphere in the information space. Although the structure of these networks varies, there is a common tendency in literature to identify the following factors as the key factors in the development of the bioeconomy: research and innovations; technology; energy and energy consumption.https://doi.org/10.2478/rtuect-2020-0058network analysissustainable bioeconomysocial aspectstransdisciplinarity
collection DOAJ
language English
format Article
sources DOAJ
author Muizniece Indra
Kubule Anna
Zihare Lauma
Blumberga Dagnija
spellingShingle Muizniece Indra
Kubule Anna
Zihare Lauma
Blumberga Dagnija
Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research
Environmental and Climate Technologies
network analysis
sustainable bioeconomy
social aspects
transdisciplinarity
author_facet Muizniece Indra
Kubule Anna
Zihare Lauma
Blumberga Dagnija
author_sort Muizniece Indra
title Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research
title_short Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research
title_full Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research
title_fullStr Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research
title_full_unstemmed Difference between Bibliometric and Grey Data. Transdisciplinary Bioeconomy Research
title_sort difference between bibliometric and grey data. transdisciplinary bioeconomy research
publisher Sciendo
series Environmental and Climate Technologies
issn 2255-8837
publishDate 2020-09-01
description This study is a follow-up to previous research on the use of a transdisciplinary approach in the analysis of factors that influence bioeconomy development and interactions between them. It is very important to consider the significance of public opinion while performing transdisciplinary research. This study integrates public opinion in the bibliometric analysis method by using grey data from information available in the public information space: mass media and social networks. The network of factors influencing the development of bioeconomy, created with the help of social network analysis method, was compared with the one obtained from bibliometric analysis of SCOPUS database in order to find out the difference between scientific tendencies and the overall atmosphere in the information space. Although the structure of these networks varies, there is a common tendency in literature to identify the following factors as the key factors in the development of the bioeconomy: research and innovations; technology; energy and energy consumption.
topic network analysis
sustainable bioeconomy
social aspects
transdisciplinarity
url https://doi.org/10.2478/rtuect-2020-0058
work_keys_str_mv AT muiznieceindra differencebetweenbibliometricandgreydatatransdisciplinarybioeconomyresearch
AT kubuleanna differencebetweenbibliometricandgreydatatransdisciplinarybioeconomyresearch
AT ziharelauma differencebetweenbibliometricandgreydatatransdisciplinarybioeconomyresearch
AT blumbergadagnija differencebetweenbibliometricandgreydatatransdisciplinarybioeconomyresearch
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