Journal article
Collaboration in an Open Data eScience: A Case Study of Sloan Digital Sky Survey
20 Jan 2010
Abstract
Current science and technology has produced more and more publically
accessible scientific data. However, little is known about how the open data
trend impacts a scientific community, specifically in terms of its
collaboration behaviors. This paper aims to enhance our understanding of the
dynamics of scientific collaboration in the open data eScience environment via
a case study of co-author networks of an active and highly cited open data
project, called Sloan Digital Sky Survey. We visualized the co-authoring
networks and measured their properties over time at three levels: author,
institution, and country levels. We compared these measurements to a random
network model and also compared results across the three levels. The study
found that 1) the collaboration networks of the SDSS community transformed from
random networks to small-world networks; 2) the number of author-level
collaboration instances has not changed much over time, while the number of
collaboration instances at the other two levels has increased over time; 3)
pairwise institutional collaboration become common in recent years. The open
data trend may have both positive and negative impacts on scientific
collaboration.
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Details
- Title
- Collaboration in an Open Data eScience: A Case Study of Sloan Digital Sky Survey
- Creators
- Jian ZhangChaomei Chen
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science (Informatics)
- Identifiers
- 991019196673404721