SP: Dynamic and adaptable infrastructure

Citationsort descending Purpose Method Study Type
Atkins, D. E., Droegemeier K. K., Feldman S. I., Garcia-molina H., Klein M. L., Messerschmitt D. G., et al. (2003).  Revolutionizing Science and Engineering Through Cyberinfrastructure : Report of the National Science Foundation Blue-Ribbon Advisory Panel on. Evaluated major investments in cyberinfrastructure; recommended new areas of emphasis relevant to cyberinfrastructure; proposed an implementation plan for pursuing these new areas of emphasis Conducted 62 presentations at invitational public testimony sessions and a community-wide survey receiving 700 responses; reviewed prior relevant reports; received written critique from 60 reviewers of the draft report; attended conferences and workshops; conducted numerous unsolicited conversations by email and phone and extensive deliberation among report panel members. Measurement, Targeted
Borgman, C. L., Darch P. T., Sands A. E., Wallis J. C., & Traweek S. (2014).  The Ups and Downs of Knowledge Infrastructures in Science: Implications for Data Management. Proceedings of the Joint Conference on Digital Libraries, 2014 (DL2014). Compared data management activities of four large, distributed, multidisciplinary scientific endeavors to gain insight into the domain expertise and expertise in organizing and retrieving complex data objects necessary for successful infrastructures for research data Findings are based on interviews (n=113 to date), ethnography, and other analyses of four cases (two big science and two small science), studied since 2002 Measurement, Targeted
Wallis, J. C., Rolando E., & Borgman C. L. (2013).  If We Share Data, Will Anyone Use Them? Data Sharing and Reuse in the Long Tail of Science and Technology. PLoS ONE. 8(7), e67332. Investigated data sharing practices among scientists and technology researchers in CENS, a National Science Foundation Science and Technology Center. This was done as part of efforts to identify infrastructure needs for research data produced in long tail science. Conducted two rounds of interviews with researchers, students, and staff in CENS in the fourth and eighth years of the study, and ten years of ethnographic observation Measurement, Targeted
Wynholds, L., Fearon, Jr. D. S., Borgman C. L., & Traweek S. (2011).  When Use Cases Are Not Useful: Data Practices, Astronomy, and Digital Libraries. 383 - 386. Sought to understand issues in developing the institutions and practices needed to provide access to research data Conducted interviews of users of the SDSS dataset covering their type of research, participation in sky survey projects, data challenges, conceptions of data, data sources, data analysis tools, walk-throughs, end of project curation, and funding structures for data Measurement, Wider
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