Building a community-based FAIR metadata schema for Brazilian agriculture and livestock trading data
| Autor: | SOARES, F. M., CORRÊA, F. E., PIRES, L. F., SANTOS, L. O. B. da S., DRUCKER, D. P., BRAGHETTO, K. L., MOREIRA, D. de A., DELBEM, A. C. B., SILVA, R. F. da, LOPES, C. O. da S., SARAIVA, A. M. |
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| Přispěvatelé: | FILIPI MIRANDA SOARES, UNIVERSIDADE DE SÃO PAULO, UNIVERSITY OF TWENTE, FERNANDO ELIAS CORRÊA, UNIVERSIDADE DE SÃO PAULO, LUIS FERREIRA PIRES, UNIVERSITY OF TWENTE, LUIZ OLAVO BONINO DA SILVA SANTOS, UNIVERSITY OF TWENTE, LEIDEN UNIVERSITY MEDICAL CENTER, DEBORA PIGNATARI DRUCKER, CNPTIA, UNIVERSIDADE DE SÃO PAULO, KELLY ROSA BRAGHETTO, UNIVERSIDADE DE SÃO PAULO, DILVAN DE ABREU MOREIRA, UNIVERSIDADE DE SÃO PAULO, ALEXANDRE CLÁUDIO BOTAZZO DELBEM, UNIVERSIDADE DE SÃO PAULO, ROBERTO FRAY DA SILVA, UNIVERSIDADE DE SÃO PAULO, CELSO OVIEDO DA SILVA LOPES, UNIVERSIDADE DE SÃO PAULO, ANTONIO MAURO SARAIVA, UNIVERSIDADE DE SÃO PAULO. |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
| Popis: | In this paper, we discuss how we are using metadata schemas and controlled vocabularies to improve interoperability between Brazilian agriculture and livestock trading data providers. A new metadata schema is being created based on a community-based approach. This method relies on knowledge from specialists to define a list of relevant metadata properties for a given domain. In the first step of the research, we extracted metadata from three datasets maintained by three Brazilian public institutions: the Center for Advanced Studies in Applied Economics (Cepea), the Institute of Applied Economic Research (Ipea), and The National Supply Company (Conab). The extracted metadata were the input to the definition of a list of 15 potential metadata properties that specialists are validating. Made available in DSpace on 2022-10-25T15:10:28Z (GMT). No. of bitstreams: 1 AP-Building-Community-Based-FAIR-2022.pdf: 258413 bytes, checksum: 9fd35929d8c05b5bf8ae3becbcc56af7 (MD5) Previous issue date: 2022 Edition of the 18th International Conference on Semantic Systems, Vienna, Austria. SEMANTiCS 2022. |
| Databáze: | OpenAIRE |
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