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

Author(s):Show less -

Marques, Nubia ; Soares, Carla Danielle de Melo ; Casali, Daniel de Melo ; Guimaraes, Erick Cristofore ; Fava, Fernanda Guimaraes ; Abreu, Joao Marcelo da Silva ; Moras, Ligiane Martins ; da Silva, Leticia Gomes ; Matias, Raphael ; de Assis, Rafael Leandro ; Fraga, Rafael ; Almeida, Sara Miranda ; Lopes, Vanessa Guimaraes ; Oliveira, Veronica ; Missagia, Rafaela ; Carvalho, Eduardo Costa ; Carneiro, Nikolas Jorge ; Alves, Ronnie ; Souza-Filho, Pedro ; Oliveira, Guilherme ; Miranda, Margarida ; Tavares, Valeria da Cunha

• Document type: Journal article
• Source: BIODIVERSITY DATA JOURNAL; v. 12, p. 18-pg., 2024-09-20.

Abstract

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 st 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. (AU)

• FAPESP's process: 22/00044-7 - Phylogeny, divergence times and historical biogeography of Xenarthra (Mammalia, Eutheria): combining morphological and molecular data
• Grantee: Daniel de Melo Casali
• Support Opportunities: Scholarships in Brazil - Post-Doctoral