A metadata model for interoperability of agricultural databases

• Grant number: 21/15125-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: March 01, 2022
• End date: May 31, 2025
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: IBM Brasil
• Principal Investigator: Antonio Mauro Saraiva
• Grantee: Filipi Miranda Soares
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Company: Universidade de São Paulo (USP). Centro de Inovação da USP (INOVA)
• Associated research grant: 19/07665-4 - Center for Artificial Intelligence, AP.eScience.CPE
• Associated scholarship(s): 22/08385-8 - A framework for the semantic interoperability of datasets: a case study in agriculture, BE.EP.DR

Abstract

This project deals with the development of metadata models for the interoperability of databases in the agricultural field, having as a sample subdomain the data of agricultural commodities. To achieve the research objective, the research methods will be guided by the principles of ISO/IEC 11179 for creating metadata repositories and other literature models for creating a crosswalk between different agricultural database metadata schemes. In the last stage of the research, the proposed metadata model will be challenged in another field of agricultural data -hunger and nutrition-through the incremental model. Finally, it is expected to create a useful metadata model for the integration of agricultural data that meets the purposes of the Center for Artificial Intelligence (C4AI), AgriBio challenge, and that meets the FAIR principles and the goals of the Open Government Program, coordinated by the Controladoria-Geral da União (CGU). (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SOARES, FILIPI MIRANDA; PIRES, LUIS FERREIRA; GARCIA, MARIA CAROLINA; CORADIN, LIDIO; GHILARDI-LOPES, NATALIA PIRANI; SILVA, RUBENS RANGEL; CARVALHO, ALINE MARTINS DE; GAVAI, ANAND; BOUZEMBRAK, YAMINE; MACULAN, BENILDES COURA MOREIRA DOS SANTOS; et al. Citizen science data on urban forageable plants: a case study in Brazil. GIGABYTE, v. 2024, p. 16-pg., 2024-02-21. (21/15125-0, 19/26760-8, 22/08385-8, 18/14994-1)

SOARES, FILIPI MIRANDA; PIRES, LUIS FERREIRA; GARCIA, MARIA CAROLINA; BOUZEMBRAK, YAMINE; CORADIN, LIDIO; GHILARDI-LOPES, NATALIA PIRANI; SILVA, RUBENS RANGEL; DE CARVALHO, ALINE MARTINS; MACULAN, BENILDES COURA MOREIRA DOS SANTOS; KOFFLER, SHEINA; et al. Leveraging citizen science for monitoring urban forageable plants. GIGASCIENCE, v. 13, p. 3-pg., 2024-03-05. (19/26760-8, 22/08385-8, 21/15125-0, 18/14994-1)