Final Report of Task Group 3: Data Quality Use Cases

Goal

To document use cases in a structured format based on Toward a Conceptual Framework for the Assessment and Management of the Fitness for Use of Biodiversity Data (Veiga et al. 2017). The use case template will be placed in a collaborative editing environment for completion and discussion.

Achievements

• The collection of data quality use cases was conducted through the analysis of a number of published papers and a series of interviews and surveys. The information was collected using a use case template and collated into a Use Case library. The details of this process are in described in Section 4 (Chapman et al. 2020) Collecting User Stories that lead to Data Quality Profiles. Details are documented in Supplementary Material 2 to Chapman et al. 2020.
• The concept of Data Quality use cases is currently being implemented in the Atlas of Living Australia, Data Quality project as “Data Quality Profiles” a set of pre-defined data filters that can be applied to search results. More information on the project and test environment can be found here: https://www.ala.org.au/data-quality-project/
• As per the goals described in the task group charter a set of use cases in use by agencies and user communities has been assembled and so this Task Group has completed its work and should be wound up. Potential future activities in this space would be to generate and validate a small set of standard data quality profiles for common use cases as well as a default profile that would be broadly applicable.

Future

The Data Quality Interest Group is currently finalising the work of Task Group 1: Framework on Data Quality, and Task Group 2: Data Quality Tests and Assertions is completing its work on a standard set of data quality tests along with a test dataset. These will then form the basis of a New Data Quality Standard.

Acknowledgements

The Data Quality Interest Group would like to thank all those who worked on the Task Group and especially its convenor, Miles Nicholls.

References

• Chapman AD, Belbin L, Zermoglio PF, Wieczorek J, Morris PJ, Nicholls M, Rees ER, Veiga AK, Thompson A, Saraiva AM, James SA, Gendreau C, Benson A, Schigel D (2020). Developing Standards for Improved Data Quality and for Selecting Fit for Use Biodiversity Data. Biodiversity Information Science and Standards 4: e50889. https://doi.org/10.3897/biss.4.50889
• Rees ER, Nicholls M (2020). Suppl. material 2: Data Quality Use Case Study Result. https://biss.pensoft.net/article/download/suppl/5255738/.
• Veiga AK, Saraiva AM, Chapman AD, Morris PJ, Gendreau C, Schigel D, & Robertson TJ (2017). A conceptual framework for quality assessment and management of biodiversity data. PLOS ONE 12 (6): https://doi.org/10.1371/journal.pone.0178731