Towards a virtual organization for data cyberinfrastructure

Authors:
Christine L. Borgman;Geoffrey C. Bowker;Thomas A. Finholt;Jillian C. Wallis
Affiliations:
University of California, Los Angeles, Los Angeles, CA, USA;Santa Clara University, Santa Clara, CA, USA;University of Michigan, Ann Arbor, Ann Arbor, MI, USA;University of Calfornia, Los Angeles, Los Angeles, CA, USA
Venue:
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Year:
2009

Citing 4
Cited 2

Data at work: supporting sharing in science and engineering

GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work
The human infrastructure of cyberinfrastructure

CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
Drowning in data: digital library architecture to support scientific use of embedded sensor networks

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries
Scholarship in the Digital Age: Information, Infrastructure, and the Internet

Scholarship in the Digital Age: Information, Infrastructure, and the Internet

Practice-centered e-science: a practice turn perspective on cyberinfrastructure design

Proceedings of the 16th ACM international conference on Supporting group work
The conundrum of sharing research data

Journal of the American Society for Information Science and Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

We report on the exploratory stages of multi-university, multi-research-site, multi-year effort to investigate and compare data practices in multiple cyberinfrastructure projects and their emerging virtual organizations. Our long-term goal is to understand the data practices and data management requirements of virtual organizations and their implications for the design and development of data digital libraries. We have constructed our own virtual organization as a participant-observer approach to the research. Results to date suggest that collaborative technologies are emergent and that defining and scoping the data products of collaborations continues to be problematic.