DocumentCode :
1392409
Title :
Next-Generation Team-Science Platform for Scientific Collaboration
Author :
Zheng, Xiaolong ; Ke, Guanyan ; Zeng, Daniel D. ; Ram, Sudha ; Lu, Hao
Author_Institution :
Chinese Acad. of Sci., Beijing, China
Volume :
26
Issue :
6
fYear :
2011
Firstpage :
72
Lastpage :
76
Abstract :
In the past two decades, many branches of science have shifted from individually oriented research toward team-based scientific collaboration. 1-3 Teams of researchers representing different disciplines are often brought together to better solve large-scale and often urgent problems of scientific, societal, and environmental relevance. In addition to combined subject matter expertise and the team´s disciplinary composition, many contex- tual factors such as antecedent conditions, collaborative processes, and support technologies as well as a host of social factors such as team size and organizational complexity can directly influence outcomes in team-based research. From this perspective, emerging research on team science aims at better understanding the key contextual factors related to transdisciplinary scientific collaboration processes and enhancing the outcomes of large-scale collaborative research programs. More specifically, team-science research combines problem-solving frameworks, specialized expertise, and research methods across disciplinary boundaries to help produce high-impact science.
Keywords :
groupware; natural sciences computing; organisational aspects; antecedent conditions; large-scale collaborative research programs; next-generation team-science platform; organizational complexity; problem-solving frameworks; research methods; specialized expertise; subject matter expertise; team disciplinary composition; team size; team-based scientific collaboration; transdisciplinary scientific collaboration process; Collaboration; Cybernetics; Research and development; Social factors; cyber-physical-social systems; cyberinfrastructures; intelligent systems; interdisciplinary research; scientific collaboration; team science; team-science-enabling platform;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2011.104
Filename :
6096577
Link To Document :
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