An OzNome as Infrastructure Value Proposition
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Slides given at a Canberra workshop for OzNome describing some of the OzNome challenges and a proposed value proposition of OzNome as Infrastructure.
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An OzNome as Infrastructure Value Proposition
- 1. OzNome for Land & Water Presented at a Workshop in Canberra, 20 April 2016 LAND AND WATER
- 2. What makes something OzNome? Data “App” OzNome! X OzNome for LW
- 3. Data lost Data Hydro Model Data Data Sensor Report X Report Y Where can I find it? What data is avail? When published? Who owns/uses? Data quality? What does this column mean? Is it the same as this? Is it the latest? 5km or 1km scale? Daily or monthly? Units, formats, what tools? Licensing? OzNome for LW
- 4. OzNome for LW4 |
- 5. OzNome for LW5 |
- 6. OzNome proposition Data Hydro Model Data Data Sensor Report Product/ServiceProduct/Service Frictionless Data Realise full value of data OzNome for LW
- 7. OzNome as infrastructure analogy Data Hydro Model Data Data Sensor Report Product/ServiceProduct/Service Frictionless Data Realise full value of data OzNome for LW Infrastructure enables efficient discovery, access and use of information at scale OzNome Implementation projects aim to explore how this is realised…
- 8. Examine OzNome across implementations Learn from each implementation project Gain collective understanding about problem and solution patterns Assemble a library of transformation pathways and tools Build OzNome infrastructure Apply learnings in facilitating OzNome ‘in the wild’ OzNome for LW8 | OzNome for Land and Water
Editor's Notes
- Simply putting an ‘app’ over data doesn’t make something OzNome (even if it’s badged OzNome)
- A typical scenario for doing hydrological modelling.
- Scale up the barriers across projects run in CSIRO. Significant costs and inefficiencies.
- Scale up the barriers across activities across Australia. Much more significant costs and inefficiencies.
- The OzNome proposition is: lowering/eliminating barriers in the data pipelines Facilitating the realisation of the full value of data by the ability to connect new products/services over existing data Able to discover and understand data more easily
- Building infrastructure to enable efficiency gains across the information/data pipelines, much like transport infrastructure for moving goods. Infrastructure includes social and economic infrastructures as well as technical infrastructures OzNome Implementation projects aim to explore how this is realised.
- OzNome for LW is but one implementation project.