ELLAS Architecture and Process: Collecting and Curating Data on Women’s Presence in STEM

The underrepresentation of women in STEM fields needs to be highlighted through data to assist decision-makers and public policy creators in addressing the issue effectively. However, the lack of structured, organized data published openly in this domain is still a reality. To address this problem,...

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Detalles Bibliográficos
Autores: Berardi, Rita Cristina Galarraga, Auceli, Pedro Henrique Stolarski, Maciel, Cristiano, Fritoli, Rodgers, Davila, Guillermo, Guzman, Indira R., Mendes, Luana
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:Brasil
Institución:Sociedade Brasileira de Computação (SBC)
Repositorio:Journal on Interactive Systems
Idioma:inglés
OAI Identifier:oai:journals-sol.sbc.org.br:article/3853
Acceso en línea:https://journals-sol.sbc.org.br/index.php/jis/article/view/3853
Access Level:acceso abierto
Palabra clave:Knowledge Graphs
Latin America
Female Leadership
STEM
Open Data
Descripción
Sumario:The underrepresentation of women in STEM fields needs to be highlighted through data to assist decision-makers and public policy creators in addressing the issue effectively. However, the lack of structured, organized data published openly in this domain is still a reality. To address this problem, a Latin American research network called ELLAS was created. The project's goal is to develop a platform with Semantic Web-based technologies to structure and concentrate data from Brazil, Peru, and Bolivia, initially. This paper presents the processes defined for the collection and curation of both unstructured and structured data, sourced from scientific articles, social networks, and existing open data. We explore the architecture design in a way that facilitates understanding of the details of the processes and the actors involved for each data source. We present the preliminary results from the application of these processes, and the strategies for future work, which include the data extraction and curation, and the ontology and knowledge graph development We also present some of the undergoing work, such as the survey development and application as well as showing what still hasn't been done, such as the platform development.