Community modeling, and data and model interoperability

1
Community modeling, and data and model
interoperability
2
Problem

• lack of common modeling and software tools to
  enable modularity and connectivity
• lack of social motivation and communication
  skills to enable communal work and sharing
  environments.

3
Goals

• Understand the interoperability needs of the
  community in a participatory and collaborative
  effort
• Develop research scenarios that would benefit
  from interoperability. Build consensus about
  interoperability architecture and standards
  supporting these scenarios
• Expand on environmental system observatory
  ontologies, in particular for mapping variables
  to concepts
• Discuss common access protocols, enabling models
  to automatically search for data needed and link
  to data servers. Design data interoperability for
  model input/output to help link models.

4
Topics

• Data and models availability, metadata and
  catalogs
• Differences in information models for
  observations data, and data access protocols.
  Harmonizing information models and data access
  protocols
• Differences in model needs with respect to the
  available data
• Differences in semantics between datasets
  available for different times and assembled in
  different research domains
• Difficulties in consensus building

5
Questions

• What are your expectations for community
  modeling?
• How do you see the role of CCMP? How can CCMP
  help?
• What prevents you from sharing your models and
  data? How to share them best?
• What problems do you anticipate with open
  modeling, with model and data sharing?
• How can we develop our community ethics and
  culture of collaborative modeling?