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Data standardization of plant–pollinator interactions

2022; University of Oxford; Volume: 11; Linguagem: Inglês

10.1093/gigascience/giac043

2047-217X

José Augusto Salim, Antônio Mauro Saraiva, Paula Zermoglio, Kayna Agostini, Marina Wolowski, Débora Pignatari Drucker, Filipi Miranda Soares, Pedro Joaquim Bergamo, Isabela Galarda Varassin, Leandro Freitas, M. M. Maués, André Rodrigo Rech, Allan Veiga, André Luís Acosta, Andréa Cardoso Araujo, Anselmo Nogueira, Betina Blochtein, Breno Magalhães Freitas, Bruno Albertini, Camila Maia-Silva, Carlos Eduardo Pereira Nunes, C. S. S. Pires, Charles Fernando dos Santos, Elisa Pereira Queiroz, Etienne A Cartolano, Favízia Freitas de Oliveira, Felipe Wanderley Amorim, Francisco E. Fontúrbel, Gleycon Velozo da Silva, Hélder Consolaro, Isabel Alves‐dos‐Santos, Isabel Cristina Machado, Juliana Saragiotto Silva, Kátia P Aleixo, Luísa G. Carvalheiro, Márcia A. Rocca, Mardiore Pinheiro, Michael Hrncir, Nathália Susin Streher, Patrícia Alves Ferreira, Patrícia Maia Correia de Albuquerque, Pietro K. Maruyama, Rafael Cabral Borges, Tereza Cristina Giannini, Vinícius Lourenço Garcia de Brito,

Ecology and Vegetation Dynamics Studies

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.