Nicholas Car, Data Architect at Geoscience Australia will present as part of the Research@Locate program being held during the Locate16 Conference. Nicholas’ research on feature-level provenance integration for spatial datasets will be presented at the Melbourne Convention and Exhibition Centre 12-14 April 2016.
Nicholas Car has recently taken on the role as Geoscience Australia’s Data Architect after a decade at CSIRO and in industry where he worked as a software engineer, computer scientist, data architect and data researcher.
His prime interests are enterprise data management and the theory and practice of provenance for data. His goal is to not only help Geoscience Australia remain a significant spatial data custodian for Australia but to also to ensure that it leads spatial data management and delivery best practice by example.
Large, multi-agency projects such as the Foundational Spatial Data Framework are interested in capturing the provenance of their spatial datasets as they are processed and combined to form products. Additionally, work is underway at the CRC for Spatial Information and elsewhere to track the provenance of the production of individual spatial datasets. How will we, can we, reconcile these provenance situations, given the different levels of granularity? Can we relate the provenance from lower-level systems to higher levels? Can we use common tools and methodologies? This talk will present modelling work and system design that has taken place at Geoscience Australia and CSIRO to solve these issues and related provenance problems.
5 things you will learn from attending Nicholas’ presentation:
- Provenance for data and processes needs to be captured at multiple levels of granularity in order to be effective.
- Certain provenance models will allow us to join provenance recorded at one granularity to that recorded at another.
- We have certain methodologies for provenance capture, storage and use that could apply across different granularities.
- We have some of the tools, but certainly not all, that we need in order to manage multi-granular provenance.
- You can introduce standardised provenance tracking at different levels of granularity today using some of the tools we mention.
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