Artículos de revistas
Data standardization of plant-pollinator interactions
Fecha
2022-01-01Registro en:
Gigascience. Oxford: Oxford Univ Press, v. 11, 15 p., 2022.
2047-217X
10.1093/gigascience/giac043
WOS:000821864000057
Autor
Universidade de São Paulo (USP)
Univ Buenos Aires
Universidade Federal de São Carlos (UFSCar)
Univ Fed Alfenas
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Inst Pesquisas Jardim Bot Rio de Janeiro
Univ Fed Parana
Universidade Federal de Viçosa (UFV)
Inst Tecnol
Universidade Federal de Mato Grosso do Sul (UFMS)
Universidade Federal do ABC (UFABC)
Pontificia Univ Catolica Rio Grande do Sul
Univ Fed Ceara
Univ Fed Rural Semi Arido
Univ Stirling
Universidade Federal da Bahia (UFBA)
Universidade Estadual Paulista (UNESP)
Pontificia Univ Catolica Valparaiso
Inst Nacl de Pesquisas da Amazonia
Univ Fed Catalao
Universidade Federal de Pernambuco (UFPE)
Inst Fed Educ Ciencia & Tecnol Mato Grosso
Assoc Brasileira Estudos Abelhas ABELHA
Universidade Federal de Goiás (UFG)
Univ Lisbon
Universidade Federal de Sergipe (UFS)
Univ Fed Fronteira Sul
Univ Pittsburgh
Univ Fed Maranhao
Universidade Federal de Minas Gerais (UFMG)
Universidade Federal de Uberlândia (UFU)
Institución
Resumen
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.