Screening and coding processes for the systematic literature review: "The circularity of textile waste: a systematic literature review on environmental methodologies and knowledge gaps"

This dataset documents the screening and coding process applied to the publications included in a systematic literature review. The literature review entitled "The circularity of textile waste: a systematic literature review on environmental methodologies and knowledge gaps" focuses on env...

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Detalles Bibliográficos
Autores: Morell-Delgado, Gemma, Talens Peiró, Laura, Toboso-Chavero, Susana
Tipo de recurso: conjunto de datos
Fecha de publicación:2025
País:España
Institución:Consorci de Serveis Universitaris de Catalunya (CSUC)
Repositorio:CORA.Repositori de Dades de Recerca
OAI Identifier:oai:dnet:cora.rdr____::5407f583dfef661e6c91917a27589771
Acceso en línea:https://doi.org/10.34810/DATA2769
Access Level:acceso abierto
Palabra clave:Earth and Environmental Sciences
Textile waste
Waste assessment
Environmental assessment
Environmental methodology
Circular economy
Life cycle assessment
Material flow analysis
Literature review
Descripción
Sumario:This dataset documents the screening and coding process applied to the publications included in a systematic literature review. The literature review entitled "The circularity of textile waste: a systematic literature review on environmental methodologies and knowledge gaps" focuses on environmental methodologies used to analyse the circularity and environmental sustainability of textile waste. This dataset is structured into three components (i.e., files). The first component records the screening process, detailing each step from the initial set of 1,170 retrieved publications to the final selection of 110 publications included for review. The second component provides a complete list of all codes and subcodes used to systematically review the publications, together with their definitions. The third component contains the coding results, showing which subcodes were assigned to each reviewed publication. Together, these three files ensure full transparency and traceability of the review process and the extracted results. This dataset also provides complete guidance for the reproducibility and updating of this work.