Here are some of the projects that I have participating and my contributions to these projetcs:
Participate in developing and providing an infrastructure to enable healthcare facilities to collect and implement patient data management that carries SARS-CoV2, the new Coronavirus, ensuring the confidentiality and privacy of patient data, following the FAIR data principles.
Research for possible solutions to enhance semantic interoperability and data provenance in scientific repositories, taking the genomic area as a use case. This investigation bases on FAIR data principles, nanopublication and FAIR Knowlet schema.
Develop and taught lessons relate to data visualization, data retrieval, Version Control Systems (VCS), research database management, management of COVID-19 sensitive data, Sustainable Development Goals (SDGs) centred on computational area, Linked Data, Semantic Web, SPARQL, FAIR Principles and bioinformatics. Additionaly, mentored groups to develop their final projects related to the database, computer and society, and bioinformatic subjects. Further, mentor undergraduate students in their undergraduate thesis projects related to Bioinformatics, Nanopublication and SDGs topics.
Worked at the RNP Research Data Network Working Group, intending to investigate open research data solutions focused on the Dataverse for the National Institute of Studies and Research (INEP) in Brazil. The process of feeding and managing the metadata of the Brazilian higher education census, and testing the scalability and interoperability between Dataverse and CKAN are some of the performed activities.
Work in the development of GiriasIO, which is a slang translation tool in order to improve the dialogue between two individuals from different linguistic niches. The proposed approach identifies slangs in messages of an instant messaging service, which can be altered by their synonyms, and may facilitate the understanding of excluded groups.
Developed the FISHTRACKER, which is a a video behavioral analysis system composed of desktop and web modules coded in C++ language and OpenCV library. This application can monitor multiple bodies simultaneously; users can configure their experiments through a web environment. These features facilitate the management of data and metadata, allowing the dissemination of the use of the application by several researchers because it is open-source and cross-platform.