In this article, we present an innovative architecture that allows for the curation of different data sources, from raw data to data consumption of individual users such as researchers, policymakers, and decision makers working on STEM and gender issues. This architecture alleviates the challenge for users in locating and accessing trustworthy information concerning gender policies, initiatives, and contextual factors, consolidating them into a single source. This contrasts with the scattered nature of such information across various formats, vocabularies, and sources.
Authors:
Cristiano Maciel, Indira R. Guzman, Rita Cristina Galarraga Berardi, Nadia Rodriguez-Rodriguez, Luciana Salgado, Luciana Bolan Frigo, Boris Branisa, and Elizabeth Jiménez.
References (APA):
Maciel, C., Guzman, I. R., Berardi, R. C. G., Rodriguez-Rodriguez, N., Salgado, L., Frigo, L. B., Branisa, B., & Jiménez, E. (2024). An open data platform to advance gender equality in STEM in Latin America. Communications of the ACM, 67 (8), 90–92. https://doi.org/10.1145/3653294