# Filipi Miranda Soares

> Researcher at INRAE, Montpellier, France

**Wikidata**: [Q111524976](https://www.wikidata.org/wiki/Q111524976)  
**Source**: https://4ort.xyz/entity/filipi-miranda-soares

## Summary
Filipi Miranda Soares is a Brazilian computer scientist and researcher affiliated with the University of São Paulo and the University of Twente. He specializes in semantic interoperability, data standards, and ontology evaluation in agriculture, contributing to projects like FAIR metadata schemas and pollinator data standards.

## Biography
- Born: January 7, 1996, in Esmeraldas
- Nationality: Brazilian
- Education:
  - Doctor of Philosophy, University of São Paulo (2020–2025)
  - Doctor of Philosophy, University of Twente (2022–2025)
  - Master's degree, Federal University of Minas Gerais (2018–2019)
  - Bachelor's degree, Polytechnic Institute of Porto (2016–2017)
- Known for: Developing semantic frameworks for agricultural data interoperability and FAIR metadata standards
- Employer(s):
  - University of São Paulo (doctoral student, 2020–2025)
  - University of Twente (doctoral student, 2022–2025)
  - National Research Institute for Agriculture, Food and the Environment (research engineer, 2025–present)
- Field(s): Computer science, semantic interoperability, agricultural data standards

## Contributions
Filipi Miranda Soares has contributed to several key projects in semantic interoperability and agricultural data standards. His notable works include:
- **Towards a Conceptual Model for FAIR Metadata Schemas** (2021), which provides a framework for ensuring data is Findable, Accessible, Interoperable, and Reusable.
- **A Novel UX-Based Approach for Ontology Evaluation** (2021), applying tree testing to evaluate ontologies, particularly in agriculture.
- **Exploring a Large Language Model for Transforming Taxonomic Data into OWL** (2021), demonstrating how AI can enhance data transformation in biodiversity research.
- **WorldFAIR Project Reports**, including use cases for agricultural pollinator data standards and biodiversity data management.
- **Citizen Science Data on Urban Forageable Plants**, a case study in Brazil that highlights community-driven data collection.

His research has been published in academic conferences and journals, influencing the development of data standards in agriculture and environmental science.

## FAQs
### Q: What is Filipi Miranda Soares known for?
A: Filipi Miranda Soares is known for his work in semantic interoperability, particularly developing FAIR metadata schemas and evaluating ontologies in agriculture. His research focuses on making scientific data more accessible and reusable.

### Q: Where did Filipi Miranda Soares study?
A: He earned his PhD from the University of São Paulo and the University of Twente, completed a master's degree at the Federal University of Minas Gerais, and holds a bachelor's degree from the Polytechnic Institute of Porto.

### Q: What are some of Filipi Miranda Soares' notable publications?
A: Some of his notable works include "Towards a Conceptual Model for FAIR Metadata Schemas," "A Novel UX-Based Approach for Ontology Evaluation," and contributions to the WorldFAIR Project reports on agricultural data standards.

### Q: What is Filipi Miranda Soares' current role?
A: He is currently a research engineer at the National Research Institute for Agriculture, Food and the Environment, following his doctoral work at the University of São Paulo and the University of Twente.

### Q: How does Filipi Miranda Soares' work impact agriculture?
A: His research helps standardize and improve the interoperability of agricultural data, making it easier for researchers, policymakers, and the public to access and use biodiversity and environmental data.

## Why They Matter
Filipi Miranda Soares' work is significant because it addresses critical challenges in data management and interoperability, particularly in agriculture and environmental science. His FAIR metadata schemas and ontology evaluation methods provide a framework for ensuring that scientific data is accessible and reusable, which is essential for evidence-based decision-making. His contributions to the WorldFAIR Project have influenced global efforts to standardize biodiversity data, making it easier for researchers worldwide to collaborate and share information. Without his work, the agricultural and environmental data landscape would lack the necessary standards and tools for effective data integration and analysis.

## Notable For
- Developed a conceptual model for FAIR metadata schemas, ensuring data is Findable, Accessible, Interoperable, and Reusable.
- Pioneered a UX-based approach for ontology evaluation, particularly in agriculture, using tree testing methods.
- Explored the use of large language models to transform taxonomic data into OWL, enhancing biodiversity data management.
- Contributed to the WorldFAIR Project, including reports on agricultural pollinator data standards and biodiversity data management.
- Published research on citizen science data collection, such as urban forageable plants in Brazil.

## Body
### Education and Early Career
Filipi Miranda Soares began his academic journey at the Polytechnic Institute of Porto, where he completed his bachelor's degree in 2017. He then pursued a master's degree at the Federal University of Minas Gerais, graduating in 2019. His early career included internships at the Federal University of Minas Gerais in 2014–2015 and 2015–2016, where he gained experience in research and data analysis.

### Doctoral Research and Key Projects
In 2020, Miranda Soares began his doctoral studies at the University of São Paulo, focusing on semantic interoperability and data standards. Simultaneously, he pursued a PhD at the University of Twente, Netherlands, from 2022 to 2025. His doctoral research led to several key contributions:
- **FAIR Metadata Schemas**: He developed a conceptual model to ensure data is Findable, Accessible, Interoperable, and Reusable, which is crucial for scientific research and policy-making.
- **Ontology Evaluation**: His novel UX-based approach for evaluating ontologies, particularly in agriculture, has been influential in the field.
- **AI in Data Transformation**: He explored the use of large language models to transform taxonomic data into OWL, enhancing biodiversity data management.

### Contributions to WorldFAIR Project
Miranda Soares played a significant role in the WorldFAIR Project, contributing to reports on agricultural pollinator data standards and biodiversity data management. His work has been instrumental in standardizing data practices in agriculture and environmental science.

### Current Role and Future Work
As a research engineer at the National Research Institute for Agriculture, Food and the Environment, Miranda Soares continues to advance his work in data interoperability and standards. His ongoing projects aim to further refine FAIR metadata schemas and apply his research to real-world agricultural and environmental challenges.

## Schema Markup
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## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0674-7960/employment/17919749)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0674-7960/employment/17849619)
3. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0674-7960/employment/8928027)
4. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-0674-7960/employment/8928024)
5. ORCID Public Data File 2024
6. [Source](https://www.facebook.com/filipi.soares.3)
7. [Source](http://lattes.cnpq.br/1290270601346793)