Datasets on the assessment of the scientific publication's corpora in circular economy and bioenergy approached from education and communication
Resumen
This article presents three datasets that specifically depict scientific literature published from 2009 to 2019 and that represent the overlaps between circular economy, bioenergy, education, and communication. All datasets have been obtained through an exhaustive methodological process based on a Systematic Literature Review (SLR). To collect data, we determined 12 Boolean Operators with words related to circular economy, bioenergy, communication, and education. Then, using the Publish or Perish software, 36 queries were made in the Web of Science, Scopus, and Google Scholar databases. Once the articles were retrieved, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) mode and PRISMA checklist were applied. 74 articles were then manually selected depending on their relationship with the field. Using the DESLOCIS framework, a wide evaluation of the articles was carried out focusing on the design, data collection, and analysis techniques. Thus, the first data set contains the metadata and metrics of the publications. The second data set details the analytical framework used. The third includes the analysis of the publication’s corpora. Together, the data presents opportunities for longitudinal studies and meta-reviews in circular economy and bioenergy areas approached from perspectives of education and communication.
Descripción
This work was supported by the Community of Madrid (ID 501100006541) and the European Regional Development Fund (ID 501100000780) under the BIOTRES- CM project S2018/EMT‐4344; by the Ministry of Science and Innovation and the European Union (PID2021-127019OB-I00) under eCOMCIENCIA project; by the 2020 Call for Personnel in Training at Rey Juan Carlos University (ID 501100007511) under award number PREDOC 20-008; and by the Spanish Ministry of Education University (ID 501100003176) Teacher Training program (FPU) under award number FPU18/02161.
Colecciones
- Artículos de Revista [4166]