The Models from Other Fields group will consider how other fields have organized to create cyberinfrastructure projects.

NEW: Working Group 5's Final Report

Members:
Scott Farrar (co-chair)
Terry Langendoen (co-chair)
Steve Moran
Cornelius Puschmann
Dwight van Tuyl

The suggested agenda for Group 5. And here are the session notes. The draft of our public statement.

Examples of Cyberinfrastructures in Other Fields

• The Gene Ontology Consortium -- a collaborative effort to address the need for consistent descriptions of gene products in different databases.
• Geographic Information Science (GISc) -- an interoperability success story, Geographic Information Systems capture, store, analyze, manage, and present data that is linked to location.
  
• FreeBase -- this project doesn't exactly represent a field, but it's a great example of how a large community can collaborate towards a common goal. It's a "semantic web" that works.
• Pangaea -- "Publishing Network for Geoscientific & Environmental Data... an Open Access library aimed at archiving, publishing and distributing georeferenced data from earth system research".
• Svalbard Integrated Arctic Earth Observing System -- an infrastructure integrating data from various organizations, sources, viewpoints (land, sea, ice, space) and disciplines (meteorology, biology, geology, etc.)
• Shared Databases in the Social Sciences. This web page surveys the NSF commitment to shared cyberinfrastructure in the social sciences, most of it lying outside of the area of linguistics. A prime example of how other fields in the social sciences have been using databases for thousands of research articles is the ICPSR at Michigan. Many other databases focus on specific surveys to which NSF has devoted major funding for decades. However, many of these older databases have not fully solved the problems of ontology and linkage.
• Astronomy -- a field interested in sharing data among various observatories. They have an international focus and have an interested in presenting data to the lay public.
• OpenWetWare -- is an effort to promote the sharing of information, know-how, and wisdom among researchers and groups who are working in biology and biological engineering.
• nanoHub --a rich, web-based resource for research, education and collaboration in nanotechnology.
• CodeForLib --
• Integrated Public Use Microdata Series (IPUMS) is a set of resources for obtaining census microdata about hundreds of millions of people worldwide. Data from over 40 countries, 130 censuses and 2.79E08 personal records are accessible online for no cost from the IPUMS-I (international site).
  

Mashups/Virtual Research Environments

• WALS
• MONK Workbench
  
• eHumanities Desktop

Technologies

• Google Fusion Tables
  
• Google Protocol Buffers - are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats
• IBM Many Eyes -- data visualization
• Web services -- machine-machine interaction over the network

Cyberling initiatives

• http://www.clarin.eu/
  

Other projects

• eSciDoc
  

Key Features of Above

• Distributed environments
• Large data sets
• Common tools
  
• Openness, data sharing (use of CC or similar licences?)
  
• Use of ontologies
  
• Ability to share beyond bounds of theoretical cliques
  
• Facilitates the discovery of new relationships
• Integrating and linking data on same subject from various sources, observations or perspectives
• International arena and large consortia
  

How can linguistics benefit from advances (or hard lessons) from other fields?

• Enabling technologies (e.g., XML, RDF, URNs, URIs, DOIs, etc)
• Non-linguistics Tools (software frameworks, db implementations, etc. used in other fields)

Related organizations, key websites:

• W3C -- a key body that promotes Web standards and practices
  
• ISO -- the main international standards body

Infrastructure Model

• Diagram -- General Model of how some of the previously discussed technologies would fit together
  

• Distributed environments
• Large data sets
• Common tools
  
• Openness, data sharing (use of CC or similar licences?)
  
• Use of ontologies
  
• Ability to share beyond bounds of theoretical cliques
  
• Facilitates the discovery of new relationships
• Integrating and linking data on same subject from various sources, observations or perspectives
• International arena and large consortia
  

How can linguistics benefit from advances (or hard lessons) from other fields?

• Enabling technologies (e.g., XML, RDF, URNs, URIs, DOIs, etc)
• Non-linguistics Tools (software frameworks, db implementations, etc. used in other fields)

Related organizations, key websites:

• W3C -- a key body that promotes Web standards and practices
  
• ISO -- the main international standards body