gEneSys Project - Systematic Literature on the Nexus between Gender and Energy Transition Database

The present Dataset containes the data collected for the gEneSys Systematic Literature Review on the nexus between gender and energy transition. Data have been collected from 152 papers published between 2000 and 2023. The publications have been identified through an hoc research query and retrieved from the Web of Science Database. The dataset inscludes the following variables: Title of the publication, category of the categorization of Bell et al., 2020 (Political, Economic, Socio-Ecological, Technological). Cluster in which the publication has been included. Parts of the publication’s results about the nexus between gender and energy. Parts of the publication’s text about the gender gap assessed by the publication. Parts of the publication’s text about the gender gap identified to be bridged by future research. The type of the gender issue/s addressed by the publication.  The type of the gender issue/s addressed by the publication.  Technology/ies mentioned in the publication. The name of the country or countries studied by the publication. World Bank classification of the level of income of the country or countries studied by the publication. World Bank classification of the region of the country or countries studied by the publication. Spatial Context (e.g. international, national, inner-country, peri-urban, rural) of the country or countries studied by the publication. Research method employed in the publication (qualitative, quantitative, mixed). Specific qualitative, quantitative or mixed method or methods employed in the publication. Number of observations for the methods used. Parts of the publication’s text about the policy recommendations elaborated in the publication. If the publication mentions a pathway. Year of publication. Author/s surname and name initial.  Author/s full surnames and names.  Keywords chosen by the author/s.  Abstract of the publication.  Name of the source or journal.  Type of publication.  Category/ies identified by Web of Science.  Publication’s language.  Keywords identified by Web of Science.  Number of references cited by the publication.  Number of times the publication has been cited in Web of Science Core Database.  Number of times the publication has been cited in Web of Science All Databases.  Name of the publisher.  Digital Object Identifier.  Digital Object Identifier link.  Publication’s number of pages.  Web of Science citation index.  Research area or areas of the publication.  Web of Science Unique Identifier.