Towards a new online species-information system for legumes
Anne Bruneau
A M , Leonardo M. Borges B , Robert Allkin C , Ashley N. Egan D L , Manuel de la Estrella E , Firouzeh Javadi F , Bente Klitgaard G , Joseph T. Miller H , Daniel J. Murphy I , Carole Sinou A , Mohammad Vatanparast J and Rong Zhang K
+ Author Affiliations
- Author Affiliations
A Institut de Recherche en Biologie Végétale and Département de Sciences Biologiques, Université de Montréal, 4101 Sherbrooke Est, Montréal, QC, H1X 2B2, Canada.
B Universidade Federal de São Carlos, Departamento de Botânica, Rodovia Washington Luís, quilômetro 235, São Carlos, SP, 13565-905, Brazil.
C Biodiversity Informatics and Spatial Analysis Department, Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK.
D Department of Biosciences, Aarhus University, Ny Munkegade 116, DK-8000 Aarhus, Denmark.
E Departamento de Botánica, Ecología y Fisiología Vegetal, Campus de Rabanales, Universidad de Córdoba, E-14071, Córdoba, Spain.
F Institute of Decision Science for a Sustainable Society, Kyushu University, 744 Motooka, Nishiku, Fukuoka, 819-0395, Japan.
G Identification and Naming Department, Biodiversity Informatics and Spatial Analysis Department, Royal Botanic Gardens, Kew, Richmond, Surrey, TW9 3AE, UK.
H Global Biodiversity Information Facility, 15 Universitetparken, DK-2100 Copenhagen, Denmark.
I Royal Botanic Gardens Victoria, Birdwood Avenue, Melbourne, Vic. 3004, Australia.
J Department of Geosciences and Natural Resource Management, Rolighedsvej 23, DK-1958 Frederiksberg C, University of Copenhagen, Denmark.
K Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, No.132 Lanhei Road, Kunming, 650201, PR China.
L Present address: Department of Biology, Utah Valley University, 800 W University Parkway, Orem, UT 84058, USA.
M Corresponding author. Email: anne.bruneau@umontreal.ca
Australian Systematic Botany 32(6) 495-518 https://doi.org/10.1071/SB19025
Submitted: 2 April 2019 Accepted: 25 July 2019 Published: 1 October 2019
Journal Compilation © CSIRO 2019 Open Access CC BY-NC-ND
Abstract
The need for scientists to exchange, share and organise data has resulted in a proliferation of biodiversity research-data portals over recent decades. These cyber-infrastructures have had a major impact on taxonomy and helped the discipline by allowing faster access to bibliographic information, biological and nomenclatural data, and specimen information. Several specialised portals aggregate particular data types for a large number of species, including legumes. Here, we argue that, despite access to such data-aggregation portals, a taxon-focused portal, curated by a community of researchers specialising on a particular taxonomic group and who have the interest, commitment, existing collaborative links, and knowledge necessary to ensure data quality, would be a useful resource in itself and make important contributions to more general data providers. Such an online species-information system focused on Leguminosae (Fabaceae) would serve useful functions in parallel to and different from international data-aggregation portals. We explore best practices for developing a legume-focused portal that would support data sharing, provide a better understanding of what data are available, missing, or erroneous, and, ultimately, facilitate cross-analyses and direct development of novel research. We present a history of legume-focused portals, survey existing data portals to evaluate what is available and which features are of most interest, and discuss how a legume-focused portal might be developed to respond to the needs of the legume-systematics research community and beyond. We propose taking full advantage of existing data sources, informatics tools and protocols to develop a scalable and interactive portal that will be used, contributed to, and fully supported by the legume-systematics community in the easiest manner possible.
Additional keywords: data exchange, data standards, genetic data, nomenclature, occurrence data, phylogenetic data, specialist data curation, taxonomic backbone, trait data.
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