The underrepresentation of women in STEM fields needs to be highlighted through data to assist decisionmakers 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 fr...

In this article, a proposed architecture for integrating knowledge graphs and a pipeline that automates the transformation of spreadsheet data into RDF triple knowledge graphs for the open data platform of the ELLAS research network is described. The main goal of the ELLAS research network project is to generate comparable data on gender gaps in STEM in Latin America, and since the data comes from various sources and formats, semantic web will be used to add meaning to the data. The architecture and pipeline proposal is to perform Extract, Transform, and Load (ETL) activities for data storage and availability to end users.

In this article, a proposed architecture for integrating knowledge graphs and a pipeline that automates the transformation of spreadsheet data into RDF triple knowledge graphs for the open data platform of the ELLAS research network is described. The main goal of the ELLAS research network project is to generate comparable data on gender gaps in STEM in Latin America, and since the data comes from various sources and formats, semantic web will be used to add meaning to the data. The architecture and pipeline proposal is to perform Extract, Transform, and Load (ETL) activities for data storage and availability to end users.

The underrepresentation of women in IT related majors such as computer science, computer engineering, and information systems (IS) has been evident all over the world. As a result, many private and public institutions have created programs aimed to increase enrollment, recruitment, and placement of women in the field and reduce the gender gap in the field. Several journal publications about this kind of research can be found in the scientific literature about studies mostly conducted in the United States, Europe, Asia and Australia, but very few publications about this kind of research in Latin American countries is available in the literature despite the fact that in the last ten years, countries in Latin America also developed a variety of programs with the same goal with the support of international organizations like the United Nations Educational, Scientific and Cultural Organizatio...