Retrieving biodiversity data from multiple sources: making secondary data standardised and accessible
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<sup>st</sup> 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.
Authors
- Ronnie Alves (ORCID: https://orcid.org/0000-0003-4139-0562)
- Vanessa Guimarães Lopes (ORCID: https://orcid.org/0000-0001-7109-4911)
- Erick Cristofore Guimarães (ORCID: https://orcid.org/0000-0003-4480-5452)
- Nikolas Carneiro (ORCID: https://orcid.org/0000-0002-5097-0772)
- Letícia Gomes (ORCID: https://orcid.org/0000-0001-8632-7271)
- Rafaela Velloso Missagia (ORCID: https://orcid.org/0000-0001-9279-8045)
- Raphael Matias (ORCID: https://orcid.org/0000-0002-0616-4060)
- Sara Miranda Almeida (ORCID: https://orcid.org/0000-0002-8372-5482)
- Nubia Marques (ORCID: https://orcid.org/0000-0001-9183-9335)
- Fernanda Fava (ORCID: https://orcid.org/0000-0002-2408-3117)
- Rafael L. Assis (ORCID: https://orcid.org/0000-0001-8468-6414)
- Guilherme Oliveira (ORCID: https://orcid.org/0000-0003-0054-3438)
- Verônica Maria de Oliveira (ORCID: https://orcid.org/0000-0001-6224-3110)
- João Marcelo S. Abreu (ORCID: https://orcid.org/0000-0002-4528-3804)
- Rafael de Fraga (ORCID: https://orcid.org/0000-0002-9900-4276)
- Eduardo Carvalho (ORCID: https://orcid.org/0000-0001-9999-4313)
- Valéria da Cunha Tavares (ORCID: https://orcid.org/0000-0003-0966-0139)
- Margarida Areias (ORCID: https://orcid.org/0000-0001-7910-2760)
- Daniel Casali (ORCID: https://orcid.org/0000-0002-0100-3735)
- Ligiane M. Moras (ORCID: https://orcid.org/0000-0002-7324-0633)
- Pedro Walfir Martins e Souza Filho (ORCID: https://orcid.org/0000-0003-0252-808X)
- Carla Danielle de Melo‐Soares (ORCID: https://orcid.org/0000-0003-2162-9126)
Institutions
- Museu Paraense Emílio Goeldi (BR)
- Vale (Brazil) (BR)
- Universidade Federal da Paraíba (BR)
- Universidade Federal de Jataí (BR)
- Universidade Estadual do Maranhão (BR)
- Instituto de Geociencias (ES)
- Vale Technological Institute (BR)
- Universidade Federal do Pará (BR)
Publication Details
- Journal
- Biodiversity Data Journal
- Published
- 2024-09-20
- DOI
- https://doi.org/10.3897/bdj.12.e133775
- Citations
- 8
- Primary Topic
- Species Distribution and Climate Change
- Type
- article
- Field-Weighted Citation Impact
- 7.36
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo