Who’s Got the Data? Interdependencies in Science and Technology Collaborations
Journal of Computer Supported Cooperative Work, DOI: 10.1007/s10606-012-9169-z
77 Pages Posted: 23 Jun 2012 Last revised: 8 Aug 2012
Date Written: June 5, 2012
Abstract
Science and technology always have been interdependent, but never more so than with today’s highly instrumented data collection practices. We report on a long-term study of collaboration between environmental scientists (biology, ecology, marine sciences), computer scientists, and engineering research teams as part of a five-university distributed science and technology research center devoted to embedded networked sensing. The science and technology teams go into the field with mutual interests in gathering scientific data. “Data” are constituted very differently between the research teams. What are data to the science teams may be context to the technology teams, and vice versa. Interdependencies between the teams determine the ability to collect, use, and manage data in both the short and long terms. Four types of data were identified, which are managed separately, limiting both reusability of data and replication of research. Decisions on what data to curate, for whom, for what purposes, and for how long, should consider the interdependencies between scientific and technical processes, the complexities of data collection, and the disposition of the resulting data.
This article is available "Online First" on SpringerLink http://www.springerlink.com/openurl.asp?genre=article&id=doi:10.1007/s10606-012-9169-z
Keywords: Cyberinfrastructure, data curation, data practices, eScience, scientific collaboration, scientific software development, technology research, sensor networks, environmental sciences
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Metadata Realities for Cyberinfrastructure: Data Authors as Metadata Creators
-
Research Data: Who Will Share What, with Whom, When, and Why?
-
Structure and Evolution of Scientific Collaboration Networks in a Modern Research Collaboratory
By Alberto Pepe
-
Datacite - A Global Registration Agency for Research Data
By Jan Brase
-
Key Issues for Digital Research: A Social Science Perspective on Policy and Practice
By William H. Dutton, Marina Jirotka, ...
-
Researchers’ Attitudes towards Data Discovery: Implications for a UCLA Data Registry
-
What Drives Academic Data Sharing?
By Benedikt Fecher, Sascha Friesike, ...