theme 2

Data curation at scale

theme leader

A/Prof Gianluca Demartini

CIRES-ARC-Centre-For-Information-Resilience-Projects-Images-Technology

This theme aims to address challenges related to:

Data Curation
How to improve ad-hoc/manual approaches, automated approaches and crowd-sourced approaches?

Large Scale Curation
How to address lack of repeatability and verification of outcomes and limited scalability by means of human-machine collaboration?

Holistic Framework
How to achieve improvements in data preparation tasks to enable cost effective time to value from data; traceability of data transformations, and improve repeatability and trust in data curation processes?

Projects

Information Architecture and Forensic Data Analysis

Information Architecture and Forensic Data Analysis

Responsible use, Trusted data partnerships

Data as a Service Architecture

Data as a Service Architecture

Data curation at scale, Responsible use

Community Attitude to Law Enforcement Data

Community Attitude to Law Enforcement Data

Responsible use

Expanding Data Sets to Allow Improved Critical Care for Children – Inpatient Risk Prediction

Expanding Data Sets to Allow Improved Critical Care for Children – Inpatient Risk Prediction

Agility in value creation, Algorithmic transparency, Responsible use

Expanding Data Sets to Allow Improved Critical Care for Children – Outpatient Risk Prediction

Expanding Data Sets to Allow Improved Critical Care for Children – Outpatient Risk Prediction

Algorithmic transparency, Responsible use, Trusted data partnerships

Human-Centred Data Literacy Curriculum for Complex Educational Organisations

Human-Centred Data Literacy Curriculum for Complex Educational Organisations

Data curation at scale, Responsible use

View all projects