Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data.
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Chapman, Arthur D.
Zermoglio, Paula F.
Morris, Paul J.
Rees, Emily Rose
Veiga, Allan Koch
Saraiva, Antonio Mauro
James, Shelley A,
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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.....
JournalBiodiversity Information Science and Standards
Sustainable Development Goals (SDG)14.a
Essential Ocean Variables (EOV)N/A
CitationChapman, 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.4.50889
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