Creating a multi-linked dynamic dataset: a case study of plant genera named for women.
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BDJ_article_114408.pdf
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371.1 KB
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Resource type
Journal article
Date published
December 6, 2023
Abstract
A discussion on social media led to the formation of a multidisciplinary group working on this project to highlight women’s contributions to science. The role of marginalised groups in science has been a topic of much discussion, but data on these contributions are largely lacking. Our motivation for the development of this dataset was not only to highlight names of plant genera that honour women, but to enrich this information with data that would allow the names, roles and lives of these women to be shared more widely with others, both researchers and data sources like Wikidata. Amplification of the contributions of women to botany through multiple means will enable the community to better recognise and celebrate the role of this particular marginalised group in the history and development of science.
The innovative approach of our study resulted in a dataset that is dynamic, expansive and widely shared. We have published a static dataset with this paper and have also created a dynamic dataset by linking flowering plant genera and the women in whose honour those genera were named in Wikidata. This concurrent addition of the data to Wikidata, a linked open data repository, enabled it to be enriched, queried and proactively shared during the whole process of dataset creation and into the future. This innovative workflow allowed wide, open participation throughout the research process. The methodology and workflows applied can be used to create future datasets celebrating and amplifying the contributions of marginalised groups in science.
Project(s)
Priority 4: Accelerated Taxonomy
Journal title
Biodiversity Data Journal
Volume
11
Article number
e114408
Publisher
Pensoft Publishers
Place of publication
Sofia, Bulgaria
ISSN
1314-2836
eISSN
1314-2828
Date accepted
November 13, 2023
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Rights statement
In Copyright
Additional information
IF = 1.55 (2022-2023)