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2.0. *Florence: Find pictures to represent infrastructure, data, interop, ocean…. Data, Cyberinfrastructure, and Interoperability: Highlights from Infrastructure Studies. Florence Millerand, Karen S. Baker, David Ribes. IOD Luncheon - April 27, 2006. Comparative Interoperability project - PowerPoint PPT Presentation
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The Data Zoo
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Data, Cyberinfrastructure, and Interoperability:
Highlights from Infrastructure Studies
Florence Millerand, Karen S. Baker, David Ribes
*Florence: Find pictures to represent infrastructure, data, interop, ocean…
IOD Luncheon - April 27, 2006
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Comparative Interoperability project NSF/Human and Social dynamics (2004-2007)
interoperability.ucsd.edu
Geoffrey C. BowkerCenter for Science, Technology & SocietySanta Clara University
Karen S. BakerScripps Institution of OceanographyUniversity of California, San Diego
Florence MillerandLCHC/Scripps Institution of OceanographyUniversity of California, San Diego
David RibesSociology/Science StudiesUniversity of California, San Diego
SSHRCCRSH
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IOD is integrative
Science Studies is integrative too…
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Infrastructure studies is a research area that simultaneously addresses the technical, social and organizational aspects of the development, usage, and maintenance of infrastructures.
Infrastructure Studies
Infrastructure is a broad category referring to pervasive enabling resources e.g. computational services, help desks, and data repositories (eg Data Zoos).What we understand by infrastructure has
consequences for how we design the support environments
for scientific research.
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Social and organizational comparison of three scientific cyberinfrastructure (CI) projects with different
interoperability strategies
Funded CI Project for the geo-sciences
Ontologies
Established Project for ecological sciences
Metadata Standard
Nascent Information
infrastructure for the ocean sciences
based at SIO
Learning Environment Activity
Comparative Interoperability project NSF/Human and Social dynamics (2004-2007)
interoperability.ucsd.edu
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Challenge of cyberinfrastructure building: Access to data and tools to use data across different informational settings.
How is data shared across distributed organizations and heterogeneous disciplines?
Background:
-> Need for an tying together in a single plan a technical vision, a deep understanding of communities’ scientific goals, and the design of a supporting organization
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Methods
•Ethnography-interviews
-document analysis -participant observation
•Cross Case Analysis (Grounded Theory)
• Institutional Analysis-organization of funding-ties to institutions of science-ties to institutions of Computer Science & Information Technology
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Collaborative design team for interoperability in Ocean Informatics
New organization and distribution of work practices
Community buildingInfrastructure building
Caging the wild data,
collaboratively
• CalCOFI
• CCE LTER
• PAL LTER
• LTER Network
• SCCOOS
• CDIP
• NOAA Fisheries
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Ocean Informatics Vision of Cyberinfrastructure
Cyberinfrastructure is anation-wide initiativeto develop “infrastructurebased upon use [and usefulness]of distributed computer, information and communication technologies”*HKarasti and KBaker, 2004. Infrastructuring for the Long-Term: Ecological Information Management. Hawaii International Conference for System Science Proceedings. HICSS38, IEEE Computer Society, 2004.
*KSBaker, GBowker and HKarasti,2002. Designing an Infrastructure for Heterogeneity in Ecosystem Data, Collaborators, and Organizations.” Proceedings of the Second National Conference on Digital Government Research, pp 141-144
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Ocean Informatics Vision of Cyberinfrastructure
RolesPractices
Language
Cyberinfrastructure is anation-wide initiativeto develop “infrastructurebased upon use [and usefulness]of distributed computer, information and communication technologies”*HKarasti and KBaker, 2004. Infrastructuring for the Long-Term: Ecological Information Management. Hawaii International Conference for System Science Proceedings. HICSS38, IEEE Computer Society, 2004.
*KSBaker, GBowker and HKarasti,2002. Designing an Infrastructure for Heterogeneity in Ecosystem Data, Collaborators, and Organizations.” Proceedings of the Second National Conference on Digital Government Research, pp 141-144
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Comparative Interoperability Project:http://interoperability.ucsd.edu