Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
EditorsFeng Luo, Kemafor Ogan, Mohammed J. Zaki, Laura Haas, Beng Chin Ooi, Vipin Kumar, Sudarsan Rachuri, Saumyadipta Pyne, Howard Ho, Xiaohua Hu, Shipeng Yu, Morris Hui-I Hsiao, Jian Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2091-2097
Number of pages7
ISBN (Electronic)9781479999255
DOIs
StatePublished - Dec 22 2015
Event3rd IEEE International Conference on Big Data, IEEE Big Data 2015 - Santa Clara, United States
Duration: Oct 29 2015Nov 1 2015

Publication series

NameProceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015

Conference

Conference3rd IEEE International Conference on Big Data, IEEE Big Data 2015
CountryUnited States
CitySanta Clara
Period10/29/1511/1/15

Keywords

  • big data projects
  • cyberinfrastructure
  • e-science
  • innovation diffusion
  • technology implementation

Fingerprint Dive into the research topics of 'Three critical matters in big data projects for e-science: Different user groups, the mutually constitutive perspective, and virtual organizational capacity'. Together they form a unique fingerprint.

Cite this