VI Workshop on Data Science - Best Practices on Data Sharing and Data Synthesis

• Processo: 22/08927-5
• Modalidade de apoio: Auxílio Organização - Reunião Científica
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação
• Pesquisador responsável: Pedro Luiz Pizzigatti Corrêa
• Beneficiário: Pedro Luiz Pizzigatti Corrêa
• Instituição Sede: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brasil
• Assunto(s): Aprendizagem profunda
• Palavra(s)-Chave do Pesquisador: Data Management | Deep Learning | Environmental Data | Scientific data management | socioeconomic indicators | synthesis science

Resumo

In this proposed 6th edition of WDS, the mission of this event is to disseminate to the Brazilian scientific/academic community experiences and outcomes in synthesis science and data science of the BELMONT project "Building new tools for data sharing and reuse through a transnational investigation of the socio-economic impacts of protected areas" (PARSEC) - a Belmont Forum collaborative research action related to e-infrastructures innovation (https://parsecproject.org/). This project aims to conduct interdisciplinary, transnational synthesis science while testing novel approaches to the management and preservation of environmental and socio-economic data. This project involves researchers and supporters from Australian, Brazil (FAPESP - process number: 2018/24017-3), France (French National Research - ANR), Japan (Japan Science and Technology Agency - JST) and USA (National Science Foundation - NSF), in partnership with leading international organization on scientific data management: American Geophysical Union (AGU), Research Data Alliance (RDA), Open Research Contributor ID (ORCID), and DataCite that are developing and promoting practices for scientific repositories, researchers, and publishers to support data sharing and data reuse. (AU)