@inproceedings{5f0c6746d8f04313a51e23b5a38c703f,
title = "Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity",
abstract = "This paper discusses three critical matters in big data projects for e-science, in which computer simulations, computational visualizations, and mathematical modeling are practiced as powerful methods to advance science. More specifically, three different user groups are identified, and their unique situations elaborated for developing project methodologies sensitive to their differences. Furthermore, 'technology development and technology use,' as well as 'technology and organizing' are two parallel processes argued as mutually constitutive within the individual pairs. Finally, project methodologies should include organizational capacity assessment and capacity building as strategic components to increase big data projects' likelihood of success in producing intended outcomes.",
keywords = "big data projects, cyberinfrastructure, e-science, innovation diffusion, technology implementation",
author = "Kee, {Kerk F.}",
note = "Funding Information: The research reported in this paper is supported by the National Science Foundation, Grants ACI #1453864 and ACI # 1322305. Publisher Copyright: {\textcopyright} 2015 IEEE.; null ; Conference date: 29-10-2015 Through 01-11-2015",
year = "2015",
month = dec,
day = "22",
doi = "10.1109/BigData.2015.7363991",
language = "English",
series = "Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2091--2097",
editor = "Feng Luo and Kemafor Ogan and Zaki, {Mohammed J.} and Laura Haas and Ooi, {Beng Chin} and Vipin Kumar and Sudarsan Rachuri and Saumyadipta Pyne and Howard Ho and Xiaohua Hu and Shipeng Yu and Hsiao, {Morris Hui-I} and Jian Li",
booktitle = "Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015",
}