2.0

1

The Data Zoo

001

1 0

0 0 1 0 0 1 11 1 0 0 1 0 1

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

2.0

2

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

3

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

4

IOD is integrative

Science Studies is integrative too…

QuickTime™ and aTIFF (Uncompressed) decompressor

are needed to see this picture.

5

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.

6

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

7

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

8

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

9

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

10

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

11

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

12

Comparative Interoperability Project:http://interoperability.ucsd.edu