Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data.

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Date
2020Author
Chapman, Arthur D.
Belbin, Lee
Zermoglio, Paula F.
Wieczorek, John
Morris, Paul J.
Nicholls, Miles
Rees, Emily Rose
Veiga, Allan Koch
Thompson, Alexander
Saraiva, Antonio Mauro
James, Shelley A,
Gendreau, Christian
Benson, Abigail
Schigel, Dmitry
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The quality of biodiversity data publicly accessible via aggregators such as GBIF (Global
Biodiversity Information Facility), the ALA (Atlas of Living Australia), iDigBio (Integrated
Digitized Biocollections), and OBIS (Ocean Biogeographic Information System) is often
questioned, especially by the research community.
The Data Quality Interest Group, established by Biodiversity Information Standards
(TDWG) and GBIF, has been engaged in four main activities: developing a framework for
the assessment and management of data quality using a fitness for use approach; defining
a core set of standardised tests and associated assertions based on Darwin Core terms;
gathering and classifying user stories to form contextual-themed use cases, such as
species distribution modelling, agrobiodiversity, and invasive species; and developing a
standardised format for building and managing controlled vocabularies of values.
Using the developed framework, data quality profiles have been built fr.....
Resource URL
https://biss.pensoft.net/article/50889/Journal
Biodiversity Information Science and StandardsVolume
4Issue
Article e50889Page Range
47pp.Document Language
enSustainable Development Goals (SDG)
14.aEssential Ocean Variables (EOV)
N/ADOI Original
https://doi.org/10.3897/biss.4.50889Citation
Chapman, A.D., Belbin, L., Zermoglio, P.F., Wieczorek, J., Morris, P.J., et al (2020) Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e5088, 47pp. DOI:. https://doi.org/10.3897/biss.4.50889Collections
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