Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP190101350
Funding Status
Active
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Funded Activity Summary
Automated assessment of data quality in biological knowledge resources. This project aims to develop methods for identifying poor quality data in biological databases. Research in biomedicine is underpinned by massive databases of biological data. Data quality is largely managed through manual curation, but automated methods to assess quality are critically needed. This project expects to develop a suite of computational tools for assessing biological data quality, utilising an innovative approach based on network analysis of database record connectivity. These tools will enable quantifying data quality at scale. Researchers, evidence-based decision-makers in biomedicine, and the analytical or predictive tools that use this data will make more reliable inferences and decisions.Funded Activity Details
Start Date: 2019
End Date: 12-2022
Funding Scheme: Discovery Projects
Funding Amount: $339,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Simulation and Modelling | Database Management | Artificial Intelligence and Image Processing | Natural Language Processing
ANZSRC Socio-Economic Objective (SEO)
Information Processing Services (incl. Data Entry and Capture) | Electronic Information Storage and Retrieval Services |
