Long Oral Presentation 11th Australian Stream Management Conference 2024

Great Barrier Reef Catchment Loads Monitoring Program: Digital Products (#71)

Eloise M. Wilson 1 , Ryan D.R Turner 1 2 3 , Celine Clech-Goods 2 , Cameron Roberts 2 , Alex Villa 4 , Hayley Kaminski 2 , Kylee Welk 2 , Rae Huggins 2 , Ben Ferguson 2 , Angela Marsh 1 , David Orr 2 , Cath Neelamraju 1 2 , Michael St. J Warne 1 2 , Reinier M Mann 2 3
  1. Reef Catchments Science Partnership, School of the Environment, University of Queensland, Brisbane, QLD, Australia
  2. Department of Environment, Science and Innovation, Water Quality and Investigations, Brisbane, QLD, Australia
  3. Institute for Future Environments, Queensland University of Technology, Brisbane, QLD, Australia
  4. Department of Environment, Science and Innovation, Information and Digital Science Delivery, Brisbane, Queensland, Australia

Why did you do it?  

  • An international review was completed in 2022 to assist in delivering a more structured development of the Great Barrier Reef Catchments Loads Monitoring Program (GBRCLMP) for the next five to ten years. 
  • The international review panel commended the GBRCLMP on the progress it has made towards providing FAIR — Findable, Accessible, Interoperable, and Reusable — data to the public and to key stakeholders and supported its continued development. 

What did you do?  

  • The Water Quality Data Portal – Tahbil – created by the GBRCLMP was evaluated for its adherence to the FAIR data principles using the Australian Research Data Commons FAIR Data Self Assessment Tool.  
  • Reviewed the current challenges encountered by the GBRCLMP in ensuring timely accessibility of data. 

What have you learned?   

  • The GBRCLMP is continuing to demonstrate its commitment to FAIR data principles. 
  • The quantity of data is the primary challenge in the continuing adoption of the FAIR data practices. 

Why does it matter?  

  • Ensuring that data collected by the GBRCLMP is FAIR will facilitate efficient data dissemination and will empower stakeholders to use it to inform their decision-making processes and enact meaningful change. 
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  2. Australian Research Data Commons (ARDC) (2022). FAIR Data Self-Assessment Tool [Online tool]. Retrieved from https://ardc.edu.au/resource/fair-data-self-assessment-tool/
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  11. State of Queensland (2018). Reef 2050 Water Quality Improvement Plan 2017 – 2022. Department of Environment and Science, Queensland Government. Brisbane. Retrieved from https://www.reefplan.qld.gov.au/__data/assets/pdf_file/0017/46115/reef-2050-water-quality-improvement-plan-2017-22.pdf
  12. The Commonwealth of Australia (2023). Reef 2050 Long-Term Sustainability Plan. Retrieved from Https://www.dcceew.gov.au/sites/default/files/documents/reef-2050-long-term-sustainability-plan-2021-2025.pdf.
  13. Warne MSt.J., Grayson R., Landers M. (2022). International Review of the Great Barrier Reef Catchment Loads Monitoring Program. Retrieved from https://www.publications.qld.gov.au/dataset/international-review-of-the-great-barrier-reef-catchment-loads-monitoring-program
  14. Warne MSt.J., Neelamraju C., Strauss J., Smith R.A., Turner R.D.R., Mann R.M. (2020). Development of a method for estimating the toxicity of pesticide mixtures and a Pesticide Risk Baseline for the Reef 2050 Water Quality Improvement Plan. Brisbane: Department of Environment and Science, Queensland Government.
  15. Water Quality & Investigations (2020). Catchment Loads Monitoring Program Pesticide Reporting Portal (Updated March 2024), Department of Environment and Science, Brisbane, Australia.
  16. Water Quality & Investigations (2023). Pesticide Risk Metric Dashboard, Department of Environment and Science, Brisbane, Australia.
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  18. Wilkinson, M., Dumontier, M., Aalbersberg, I., et al., (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18
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