Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data

Filipi Miranda Soares; Fernando Elias Corrêa; Luis Ferreira Pires; Luiz Olavo Bonino da Silva Santos; Debora Pignatari Drucker; Kelly Rosa Braghetto; Dilvan de Abreu Moreira; Alexandre Cláudio Botazzo Delbem; Roberto Fray da Silva; Celso Oviedo da Silva Lopes; Antonio Mauro Saraiva

Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data

Filipi Miranda Soares^*, Fernando Elias Corrêa, Luis Ferreira Pires, Luiz Olavo Bonino da Silva Santos, Debora Pignatari Drucker, Kelly Rosa Braghetto, Dilvan de Abreu Moreira, Alexandre Cláudio Botazzo Delbem, Roberto Fray da Silva, Celso Oviedo da Silva Lopes, Antonio Mauro Saraiva

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

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.

Original language	English
Title of host publication	SEMPDW 2022
Publication status	Published - 2022
Event	18th International Conference on Semantic Systems, SEMANTiCS 2022 - Vienna, Austria Duration: 12 Sep 2022 → 15 Sep 2022 Conference number: 18

Publication series

Name	CEUR workshop proceedings
Publisher	Rheinisch Westfälische Technische Hochschule
Volume	3235
ISSN (Print)	1613-0073

Conference

Conference	18th International Conference on Semantic Systems, SEMANTiCS 2022
Abbreviated title	SEMANTiCS 2022
Country/Territory	Austria
City	Vienna
Period	12/09/22 → 15/09/22

Keywords

Agriculture
FAIR data principles
livestock
metadata
trading data

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paper26Final published version, 368 KBLicence: CC BY

https://ceur-ws.org/Vol-3235/paper26.pdfLicence: CC BY

Cite this

Soares, F. M., Corrêa, F. E., Pires, L. F., da Silva Santos, L. O. B., Drucker, D. P., Braghetto, K. R., de Abreu Moreira, D., Delbem, A. C. B., da Silva, R. F., da Silva Lopes, C. O., & Saraiva, A. M. (2022). Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data. In SEMPDW 2022 (CEUR workshop proceedings; Vol. 3235). https://ceur-ws.org/Vol-3235/paper26.pdf

@inproceedings{b79f10df790d434ca7b9fdd76bc5d57c,

title = "Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data",

abstract = "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.",

keywords = "Agriculture, FAIR data principles, livestock, metadata, trading data",

author = "Soares, {Filipi Miranda} and Corr{\^e}a, {Fernando Elias} and Pires, {Luis Ferreira} and {da Silva Santos}, {Luiz Olavo Bonino} and Drucker, {Debora Pignatari} and Braghetto, {Kelly Rosa} and {de Abreu Moreira}, Dilvan and Delbem, {Alexandre Cl{\'a}udio Botazzo} and {da Silva}, {Roberto Fray} and {da Silva Lopes}, {Celso Oviedo} and Saraiva, {Antonio Mauro}",

note = "Funding Information: FMS thanks the S{\~a}o Paulo Research Foundation (FAPESP) for the research grants n. 2021/15125-0 and 2022/08385-8. The authors thank the Center for Artificial Intelligence (C4AI), a joint initiative of USP, IBM and FAPESP (process n. 2019/07665-4), for the technical and/or financial support to their research. AMS thanks the Brazilian National Council for Scientific and Technological Development (CNPq) for the research grant n. 312605/2018-8. Publisher Copyright: {\textcopyright} 2020 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0); 18th International Conference on Semantic Systems, SEMANTiCS 2022, SEMANTiCS 2022 ; Conference date: 12-09-2022 Through 15-09-2022",

year = "2022",

language = "English",

series = "CEUR workshop proceedings",

publisher = "Rheinisch Westf{\"a}lische Technische Hochschule",

booktitle = "SEMPDW 2022",

}

Soares, FM, Corrêa, FE, Pires, LF , da Silva Santos, LOB, Drucker, DP, Braghetto, KR, de Abreu Moreira, D, Delbem, ACB, da Silva, RF, da Silva Lopes, CO & Saraiva, AM 2022, Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data. in SEMPDW 2022. CEUR workshop proceedings, vol. 3235, 18th International Conference on Semantic Systems, SEMANTiCS 2022, Vienna, Austria, 12/09/22. <https://ceur-ws.org/Vol-3235/paper26.pdf>

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T1 - Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data

AU - Soares, Filipi Miranda

AU - Corrêa, Fernando Elias

AU - Pires, Luis Ferreira

AU - da Silva Santos, Luiz Olavo Bonino

AU - Drucker, Debora Pignatari

AU - Braghetto, Kelly Rosa

AU - de Abreu Moreira, Dilvan

AU - Delbem, Alexandre Cláudio Botazzo

AU - da Silva, Roberto Fray

AU - da Silva Lopes, Celso Oviedo

AU - Saraiva, Antonio Mauro

N1 - Conference code: 18

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Agriculture

KW - FAIR data principles

KW - livestock

KW - metadata

KW - trading data

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M3 - Conference contribution

AN - SCOPUS:85139768441

T3 - CEUR workshop proceedings

BT - SEMPDW 2022

T2 - 18th International Conference on Semantic Systems, SEMANTiCS 2022

Y2 - 12 September 2022 through 15 September 2022

ER -

Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data

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