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A scientific collaboration between the Department of the Environment, Bureau of Meteorology, CSIRO and Geoscience Australia
Simon Gallant, Nick Car, Maryam Ahmad, Becky Schmidt and Linda MerrinMODSIM 2015, 4 December 2015
Identifying actors: a first step in effectively communicating provenance
• What is a bioregional assessment?
• Actors and their requirements for communication of provenance
− bioregional assessors
− public
− decision makers
− industry
Outline
• Tailor reported provenance information to multiple actors (audiences)
− Few people want everything
• Transparency is efficient
• Transparency meets client and public’s expectations
• These benefits outweigh the costs – especially next time we do it
Conclusion
• Products team: Becky Schmidt, Maryam Ahmad, Daniel Aramini, Clare Brandon, Heinz Buettikofer, Sonja Chandler, Simon Gallant, Karin Hosking, Frances Marston, Linda Merrin, Sally Tetreault-Campbell, Catherine Ticehurst, Penny Kilgour, Kathryn Owen
• Information management team: Brendan Moran, Belinda Allison, Jill McNamara, Suzanne Slegers, Nick Car, Phil Davies, Andrew Freebairn, Mick Hartcher, Geoff Hodgson, Brad Lane, Ben Leighton, Trevor Pickett, Ramneek Singh, Matt Stenson, Luke Caruana, Matti Peljo
• Bioregional Assessment Information Platform: Lakshmi Devanathan, Derek Chen, Trevor Christie-Taylor, Melita Dahl, Angus MacAulay, Christine Panton, Paul Sheahan, Kellie Stuart, Carl Sudholz, Peter Fitch, Geraldine Cusack, Neal Evans
Acknowledgements
What is a bioregional assessment?
6
Bioregional Assessment Programme
www.bioregionalassessments.gov.au
What are the impacts of
Coal mines and coal seam gas
operations
Water
7Presentation title
Outputs
8
provide the methods and unencumbered models, data and software to the public
so that experts outside of the Assessment team can:
• understand how a bioregional assessment was undertaken
• use new models, data and software to updatethe bioregional assessment
Transparency
9Presentation title
the extent to which materially consistent results are obtained
when experts outside of the Assessment teams
redo a bioregional assessment
using the same methods, models, data and software,
but different computer systems
Reproducibility
10Presentation title
Defined minimum provenance
Metadata for Dataset 1
History: Created by BoM in 2013.
Ancestors: none
Metadata for Dataset 2
History: Collated by Jane in 2012.
Ancestors: Dataset 3
Metadata for Dataset 3
History: Created by NSW in 2011.
Ancestors: none
Dataset 1
Dataset 2
Dataset 3
Actors and their requirements for communication of provenance
12Presentation title
I need to manage data.
I need to share methods, models and data with other bioregional assessors and stakeholders.
I need to cite the data I use and generate.
Bioregional assessors
13Presentation title
Suite of 13 methodologies
Provenance information for bioregional assessors
14
Programme Data Repository
Data
Products(Word docs) Non text
elements
Metadata
Models
Internal provenance information for bioregional assessors
15Presentation title
…which enables them to communicate externally
Datasets
Dataset 1 BoM (2013) Geofabric
surface cartography. Bioregional
Assessment Source Dataset.
Viewed 10 March 2015,
http://data.bioregionalassessments.
gov.au/dataset/5342c4ba-sdf3.
Dataset 2 Bioregional Assessment
Programme (2012) Bore data
collated from NSW and Queensland
databases. Bioregional Assessment
Derived Dataset. Viewed 30
October 2015,
http://data.bioregionalassessments.
gov.au/dataset/5dls323b-abc2.
Figure 8 Bores in the subregion
Data: BAP (Dataset 2)
Summary: There are 23 bores.
Figure 8 shows the location of
the modelled bores. Surface
water receptors were selected to
fall within Geofabric river basins
(BoM, Dataset 2).
16Presentation title
I need high quality information and data.
I use your information because of your reputation or independence. I trust you.
I need support to understand the science and information.
Public: affected landholder
17Presentation title
Public-audience syntheses
18Presentation title
Provenance information for the public
Datasets
Dataset 1 BoM (2013) Geofabric
surface cartography. Bioregional
Assessment Source Dataset.
Viewed 10 March 2015,
http://data.bioregionalassessments.
gov.au/dataset/5342c4ba-sdf3.
Dataset 2 Bioregional Assessment
Programme (2012) Bore data
collated from NSW and Queensland
databases. Bioregional Assessment
Derived Dataset. Viewed 30
October 2015,
http://data.bioregionalassessments.
gov.au/dataset/5dls323b-abc2.
Figure 8 Bores in the subregion
Data: BAP (Dataset 2)
Summary: There are 23 bores.
Figure 8 shows the location of
the modelled bores. Surface
water receptors were selected to
fall within Geofabric river basins
(BoM, Dataset 2).
19Presentation title
I use your information because of your reputation or independence. I trust you.
I need science, information and data for making decisions or providing advice.
I need access and sharing of information between stakeholders.
Decision makers
Decision makers seek scientific advice
Industry applies for development
approval
IESC considers proposal in light of
scientific advice
Minister considers IESC advice in
making decision on development
approval
21Presentation title
Provenance information for decision makers
Metadata for Dataset 1
History: Created by BoM in 2013.
Ancestors: none
Metadata for Dataset 2
History: Collated by Jane in 2012.
Ancestors: Dataset 3
Metadata for Dataset 3
History: Created by NSW in 2011.
Ancestors: none
Dataset 1
Dataset 2
Dataset 3
Figure 8 Bores in the subregion
Data: BAP (Dataset 2)
Summary: There are 23 bores.
Figure 8 shows the location of
the modelled bores. Surface
water receptors were selected to
fall within Geofabric river basins
(BoM, Dataset 2).
22Presentation title
I use information because it is well developed, peer reviewed or transparent (open and public).
I need raw data to use for my own purpose or analysis.
I will compare and contrast your data with other sources to check its validity.
Industry and consultants
23Presentation title
Provenance information for industry
Figure 8 Bores in the subregion
Data: BAP (Dataset 2)
Summary: There are 23 bores.
Figure 8 shows the location of
the modelled bores. Surface
water receptors were selected to
fall within Geofabric river basins
(BoM, Dataset 2).
Metadata for Dataset 2
History: Collated by Jane in 2012.
Ancestors: Dataset 3
Metadata for Dataset 3
History: Created by NSW in 2011.
Ancestors: none
Dataset 2
Dataset 3
Metadata for Dataset 1
History: Created by BoM in 2013.
Ancestors: none
Dataset 1
Model 1
In conclusion
• Tailor reported provenance information to multiple actors (audiences)
− Few people want everything
• Transparency is efficient
• Transparency meets client and public’s expectations
• These benefits outweigh the costs – especially next time we do it
Conclusion
26Presentation title
Transparency costs 1/6 of the budget
• 80% of information
management team’s time
• Whole budget for information
platform
• 20% of products team’s time
• 15% of domain experts’ time
27Presentation title
… but next time it will be less expensive
• 80% of information
management team’s time
• Whole budget for information
platform
• ▼ to 10% products team’s time
• ▼ to 5% of domain experts’
time
▼overall time
www.bioregionalassessments.gov.au
CSIRO
Dr Becky SchmidtResearch Team Leader, Knowledge Integration Team, CSIRO
t +61 2 6246 5923e [email protected] www.csiro.au
CSIROe [email protected] [email protected] [email protected]
Geoscience Australiae [email protected]
29Presentation title
Master slide for images
Figure 8 Bores in the subregion
Data: BAP (Dataset 2)
Summary: There are 23 bores.
Figure 8 shows the location of
the modelled bores. Surface
water receptors were selected to
fall within Geofabric river basins
(BoM, Dataset 2).
Metadata for Dataset 1
History: Created by BoM in 2013.
Ancestors: none
Metadata for Dataset 2
History: Collated by Jane in 2012.
Ancestors: Dataset 3
Metadata for Dataset 3
History: Created by NSW in 2011.
Ancestors: none
Dataset 1
Dataset 2
Dataset 3
30Presentation title
the extent to which materially consistent results are obtained
when Assessment teams
redo a bioregional assessment
using the same methods, models, data, software and computer systems
Repeatability
