- How do you handle organization of collections today?
- What are the biggest issues with building collections for new communities?
- When new communities access existing data collections, what new access capabilities are required?
- What level of description is required to meet expectations of new communities?
- Is long-term sustainability enabled through repurposing of collections?
- Are their other driving purposes behind promoting re-use of collections?
- Which institutions can be approached for sustaining re-purposed collections?
Peter Wittenburg, Max Planck Society, Institute for Pyscholinguistics [PowerPoint]
Sudha Ram, iPlant Collaborative [Paper]
- building cyberinfrastructure to support the solution of grand challenges in plant biology
- they are a virtual organisation
- their long term focus is on sustainable food supply
- their challenge is to build an iPlant tree-of-life (IPTOL) - a single tree of evolutionary relationships for all green plants
- methodology: Genotype to Phenotype i.e. construct a methodology whereby an investigator, given the genomic and environmental information about a given plant, can predict it’s characteristics
- modeling is still in it’s infancy compared to other disciplines
- Strong focus on data integration, not simulation: Plant science is truly data driven.
- no single ontology - sequences, gene expressions, whole plant data, environmental and climate data - therefore Data Integration is Key
- issues regarding data integration, provenance, and quality are key enabling technologies
- observes the language barrier between the bio community and the computing/CI community is far higher than any other discipline
Roy Williams, International Virtual Observatory Alliance [PowerPoint]
John Harrison, SHAMAN [PowerPoint Talk, Responses to questions]
Jonathan Crabtree, Odum Social Science Institute [PowerPoint]
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