walis forum 2010 - managing environmental data on a large scale
DESCRIPTION
Delivered at WALIS Forum 2010TRANSCRIPT
P088; Presented in Canberra, 27th March, 2008Presented at the WALIS Forum in Perth on 12th November, 2009
GAIA RESOURCES
Rio Tinto: Managing Environmental
Data on a Large ScaleAndrew DennisonGaia Resources
• Overview
• What we did
• Benefits
• Future
• Further Information
• Questions
AGENDA
Project Aims
• Combine data
• Identify significant areas
• Make data available
OVERVIEW
OVERVIEW
Data to Information
Existing Infrastructure
• MapInfo/MapBasic Tools
• File Based
• GIS Viewer
• Document Management System
OVERVIEW
OVERVIEW
Environmental Characteristics and Capabilities Project
Sustainability StrategiesEnvironmental Standards
Business Processes Projects
EnvironmentalManagement
System
DocumentManagement
System
Management picture
What did we do?
• Capture historical data
• Create data standards
• Create business processes
• Act as data custodian
HOW
Historical Data
HOW
Historical Data - Example
HOW
Historical Data – Issues/Solutions
• Data capture standards
• Taxonomy
HOW
Data Standards
• Currently eight data types
• Boundary to capture report extents
• Flexibility to add further types
HOW
Data Standards - Example
HOW
Myoporaceae Eremophila magnifica
Eremophila magnifica
Myoporaceae Eremophila magnifica subsp. magnifica
Myoporaceae Eremophila magnifica ssp. magnifica ms
Data Standards – Issues/Solutions
• Enforced compliance
HOW
Business Processes
• Greater autonomy
• More flexible
• Easier to implement
HOW
Business Processes - Example
Data flow
HOW
Data SupplierProject
Manager?
Data Supplier CustodianCorporateDataset
Processing
Business Processes – Issues/Solutions
• Training
HOW
Data Custodian
• Manage data flow from suppliers
• Create MapBasic data custodian tools
• Transition to internal custodians
HOW
Data Custodian - Example
Processing
HOW
CheckStructure
CheckTopology
CheckAttributes
IntegrateData
Data Supplier CustodianCorporateDataset
Processing
Data Custodian – Issues/Solutions
• Balancing data validation with simplicity
HOW
• Combining of data
• Sustainable extensible data management process
• Single point of control for data
• Dynamic updates
• Historical record of environmental surveys
BENEFITS
Where to from here?
FUTURE
• Environmental data was disparate
• Combine, identify and make available
• Creation of standards and business processes
• Improved data management process
SUMMARY
FURTHER INFORMATION
Questions?