Article

Data standardization of plant-pollinator interactions

Details

Citation

Salim JA, Saraiva AM, Zermoglio PF, Agostini K, Wolowski M, Drucker DP, Soares FM, Bergamo PJ, Varassin IG, Freitas L, Maues MM, Rech AR, Veiga AK, Acosta AL & Nunes CEP (2022) Data standardization of plant-pollinator interactions. GigaScience, 11 (1), Art. No.: giac043. https://doi.org/10.1093/gigascience/giac043

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.

Notes
Additional co-authors: Andréa C Araujo, Anselmo Nogueira, Betina Blochtein, Breno M Freitas, Bruno C Albertini, Camila Maia-Silva, Carmen S S Pires, Charles F dos Santos, Elisa P Queiroz, Etienne A Cartolano, Favízia F de Oliveira, Felipe W Amorim, Francisco E Fontúrbel, Gleycon V da Silva, Hélder Consolaro, Isabel Alves-dos-Santos, Isabel C Machado, Juliana S Silva, Kátia P Aleixo, Luísa G Carvalheiro, Márcia A Rocca, Mardiore Pinheiro, Michael Hrncir, Nathália S Streher, Patricia A Ferreira, Patricia M C de Albuquerque, Pietro K Maruyama, Rafael C Borges, Tereza C Giannini, Vinícius L G Brito

Journal
GigaScience: Volume 11, Issue 1

StatusPublished
FundersBrazilian Agriculture Research Corporation
Publication date31/12/2022
Publication date online31/05/2022
Date accepted by journal26/05/2022
URLhttp://hdl.handle.net/1893/34403
eISSN2047-217X