The Ferryman: Predictive Toxicology Discussion Questions

Predictive Toxicology Discussion Questions

- How can we advance better data management practices?
- How do we progress access to data?
- How can we improve quality evaluation of data?
- What are achievable next steps to increase public data resource interoperability?
- What are requirements for integrating confidential and public data?
- What are opportunities for collaboration between different Open Standards?
- What are key requirements for semantic interoperability?
- Can we identify concrete actions to advance interoperability in and between projects?
- How do we advance greater adoption of open standards for public resources?
- How do we advance greater adoption of open standards by commercial providers?
- What are the key visualisation requirements in predictive toxicology use cases?
- What gaps need to be filled?
- How can open standards be used to advance visualisation and analysis applications?
- How interactive should visualization be for the end-user?
- What platforms should visualization be available on (web based, stand-alone)?
- How can we better integrate data resources with visualisation and analysis applications?
- How can we better integrate algorithm resources with visualisation applications?
- What are key capabilities we have today in systems biology that can be used for predictive toxicology?
- What are the challenges? What gaps need to be filled?
- How can we use systems biology to make better sense of omics data?
- How can we use systems biology in hypothesis generation and experimental planning?
- How can open standards be used to advance systems toxicology applications?
- What are key information resources we have today in metabolism that can be used for predictive toxicology?
- What are key modelling resources that can be used for predictive toxicology?
- What are the challenges? What gaps need to be filled?
- How can we advance the use of metabolic networks in predictive toxicology?
- How can open standards be used to advance applications incorporating metabolism?
- What kind of data integration do we need for predictive toxicology use cases?
- What is the role of ontology in supporting integrated anaylsis?
- How do we best integrate heterogenous data?
- How do we advance weight of evidence approaches?
- How can we better incorporate kinetics modelling in our analysis?
- What are key steps to progress research applications and data for industrial use and regulatory acceptance?