Article Dans Une Revue GigaScience Année : 2022

Data standardization of plant–pollinator interactions

1 UNICAMP - Universidade Estadual de Campinas = University of Campinas
2 USP - Universidade de São Paulo = University of São Paulo
3 UBA - Universidad de Buenos Aires [Buenos Aires]
4 UFSCar - Federal University of São Carlos = Universidade Federal de São Carlos
5 UNIFAL - Universidade Federal de Alfenas
6 Embrapa Agricultura Digital = Embrapa Digital Agriculture
7 University of Twente
8 INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
9 JBRJ - Instituto de Pesquisas Jardim Botanico do Rio de Janeiro
10 UFPR - Universidade Federal do Parana [Curitiba]
11 EMBRAPA Amazônia Oriental
12 UFJMV - Universidade Federal dos Vales do Jequitinhonha e Mucuri = Federal University of Jequitinhonha and Mucuri Vallays
13 UFMS - Universidade Federal de Mato Grosso do Sul
14 UFABC - Universidade Federal do ABC = Federal University of ABC = Université Fédérale de l'ABC [Brazil]
15 PUC-RS - Pontifícia Universidade Católica do Rio Grande do Sul = Pontifical Catholic University of Rio Grande do Sul [Brazil]
16 UFC - Universidade Federal do Ceará = Federal University of Ceará
17 UFERSA - Universidade Federal Rural do Semi-Árido
18 University of Stirling
19 CENARGEN - Embrapa Recursos Genéticos e Biotecnologia = Embrapa Genetic Resources & Biotechnology
20 UFBA - Universidade Federal da Bahia = Federal University of Bahia
21 UNESP - Universidade Estadual Paulista Júlio de Mesquita Filho = São Paulo State University
22 PUCV - Pontificia Universidad Católica de Valparaíso
23 INPA - Instituto Nacional de Pesquisas da Amazônia = National Institute of Amazonian Research
24 Instituto de Biotecnologia Universidade Federal de Catalão
25 UFPE - Universidade Federal de Pernambuco [Recife]
26 IFMT - Instituto Federal de Educação Ciência e Tecnologia de Mato Grosso
27 ABELHA - Associação Brasileira de Estudos das Abelhas
28 ULISBOA - Universidade de Lisboa = University of Lisbon = Université de Lisbonne [Lisboa]
29 Universidade Federal de Sergipe
30 UFFS - Universidade Federal da Fronteira Sul
31 PITT - University of Pittsburgh
32 Dom Delgado University Town
33 UFMG - Universidade Federal de Minas Gerais = Federal University of Minas Gerais
34 ITV - Instituto Tecnológico Vale [Belém, Brazil]
35 Instituto de Biologia Universidade Federal de Uberlaˆndia, Uberlaˆndia
Márcia Maués
Carlos Nunes
Márcia Rocca
Nathália Streher
Patricia de Albuquerque

Résumé

Abstract Background Animal pollination is an important ecosystem function and service, ensuring both the integrity of natural systems and human well-being. Although many knowledge shortfalls remain, some high-quality data sets on biological interactions are now available. The development and adoption of standards for biodiversity data and metadata has promoted great advances in biological data sharing and aggregation, supporting large-scale studies and science-based public policies. However, these standards are currently not suitable to fully support interaction data sharing. Results Here we present a vocabulary of terms and a data model for sharing plant–pollinator interactions data based on the Darwin Core standard. The vocabulary introduces 48 new terms targeting several aspects of plant–pollinator interactions and can be used to capture information from different approaches and scales. Additionally, we provide solutions for data serialization using RDF, XML, and DwC-Archives and recommendations of existing controlled vocabularies for some of the terms. Our contribution supports open access to standardized data on plant–pollinator interactions. Conclusions The adoption of the vocabulary would facilitate data sharing to support studies ranging from the spatial and temporal distribution of interactions to the taxonomic, phenological, functional, and phylogenetic aspects of plant–pollinator interactions. We expect to fill data and knowledge gaps, thus further enabling scientific research on the ecology and evolution of plant–pollinator communities, biodiversity conservation, ecosystem services, and the development of public policies. The proposed data model is flexible and can be adapted for sharing other types of interactions data by developing discipline-specific vocabularies of terms.

Dates et versions

hal-05136185 , version 1 (30-06-2025)

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Citer

José Salim, Antonio Saraiva, Paula Zermoglio, Kayna Agostini, Marina Wolowski, et al.. Data standardization of plant–pollinator interactions. GigaScience, 2022, 11, ⟨10.1093/gigascience/giac043⟩. ⟨hal-05136185⟩

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