Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible.

Autor: Marques N; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Soares CDM; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Casali DM; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Guimarães EC; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Fava FG; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Abreu JMDS; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.; Universidade Estadual do Maranhão, São Luís, Brazil Universidade Estadual do Maranhão São Luís Brazil., Moras LM; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., da Silva LG; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Matias R; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.; Federal University of Jataí, Jataí, Brazil Federal University of Jataí Jataí Brazil., de Assis RL; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Fraga R; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Almeida SM; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Lopes VG; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Oliveira V; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Missagia R; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Carvalho EC; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Carneiro NJ; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Alves R; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Souza-Filho P; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.; Instituto de Geociências, Universidade Federal do Pará, Pará, Brazil Instituto de Geociências, Universidade Federal do Pará Pará Brazil., Oliveira G; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Miranda M; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil., Tavares VDC; Vale Institute of Technology, Belém, Brazil Vale Institute of Technology Belém Brazil.; Museu Paraense Emílio Goeldi, MPEG, Pós-graduação em Biodiversidade e Evolução, Belém, Brazil Museu Paraense Emílio Goeldi, MPEG, Pós-graduação em Biodiversidade e Evolução Belém Brazil.; Pós-Graduação em Zoologia & Laboratório de Mamíferos, Departamento de Sistemática e Ecologia, Universidade Federal da Paraíba, João Pessoa, Brazil Pós-Graduação em Zoologia & Laboratório de Mamíferos, Departamento de Sistemática e Ecologia, Universidade Federal da Paraíba João Pessoa Brazil.
Jazyk: angličtina
Zdroj: Biodiversity data journal [Biodivers Data J] 2024 Sep 20; Vol. 12, pp. e133775. Date of Electronic Publication: 2024 Sep 20 (Print Publication: 2024).
DOI: 10.3897/BDJ.12.e133775
Abstrakt: Biodiversity data, particularly species occurrence and abundance, are indispensable for testing empirical hypothesis in natural sciences. However, datasets built for research programmes do not often meet FAIR (findable, accessible, interoperable and reusable) principles, which raises questions about data quality, accuracy and availability. The 21 st century has markedly been a new era for data science and analytics and every effort to aggregate, standardise, filter and share biodiversity data from multiple sources have become increasingly necessary. In this study, we propose a framework for refining and conforming secondary biodiversity data to FAIR standards to make them available for use such as macroecological modelling and other studies. We relied on a Darwin Core base model to standardise and further facilitate the curation and validation of data related including the occurrence and abundance of multiple taxa of a region that encompasses estuarine ecosystems in an ecotonal area bordering the easternmost Amazonia. We further discuss the significance of feeding standardised public data repositories to advance scientific progress and highlight their role in contributing to the biodiversity management and conservation.
Competing Interests: No conflict of interest to declare Disclaimer: This article is (co-)authored by any of the Editors-in-Chief, Managing Editors or their deputies in this journal.
(Nubia Marques, Carla Danielle de Melo Soares, Daniel de Melo Casali, Erick Cristofore Guimarães, Fernanda Guimarães Fava, João Marcelo da Silva Abreu, Ligiane Martins Moras, Letícia Gomes da Silva, Raphael Matias, Rafael Leandro de Assis, Rafael Fraga, Sara Miranda Almeida, Vanessa Guimarães Lopes, Verônica Oliveira, Rafaela Missagia, Eduardo Costa Carvalho, Nikolas Jorge Carneiro, Ronnie Alves, Pedro Souza-Filho, Guilherme Oliveira, Margarida Miranda, Valéria da Cunha Tavares.)
Databáze: MEDLINE