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  5. Complex adaptive systems theory applied to virtual scientific collaborations: The case of DataONE
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Complex adaptive systems theory applied to virtual scientific collaborations: The case of DataONE

Date Issued
August 1, 2011
Author(s)
Aydinoglu, Arsev Umur
Advisor(s)
Suzie Allard
Additional Advisor(s)
Carol Tenopir, Virginia Kupritz, Heather Douglas
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/18656
Abstract

This study is the exploration of the emergence of DataONE, a multidisciplinary, multinational, and multi-institutional virtual scientific collaboration to develop a cyberinfrastructure for earth sciences data, from the complex adaptive systems perspective. Data is generated through conducting 15 semi-structured interviews, observing three 3-day meetings, and 51 online surveys. The main contribution of this study is the development of a complexity framework and its application to a project such as DataONE. The findings reveal that DataONE behaves like a complex adaptive system: various individuals and institutions interacting, adapting, and coevolving to achieve their own and common goals; during the process new structures, relationships, and products emerge that harmonize with DataONE’s goals. DataONE is quite resilient to threats and adaptive to its environment, which are important strengths. The strength comes from its diversified structure and balanced management style that allows for frequent interaction among members.


The study also offers insights to PI(s), managers, and funding institutions on how to treat complex systems. Additional results regarding multidisiplinarity, library and information sciences, and communication studies are presented as well.

Subjects

virtual scientific co...

dataone

complex adaptive syst...

emergence

Disciplines
Communication Technology and New Media
Library and Information Science
Organizational Behavior and Theory
Degree
Doctor of Philosophy
Major
Communication and Information
Embargo Date
December 1, 2011
File(s)
Thumbnail Image
Name

Arsev_Dissertation.pdf

Size

2.16 MB

Format

Adobe PDF

Checksum (MD5)

e0021f5d273e4b59c2f481da645aa693

Thumbnail Image
Name

Arsev_Dissertation_v3.docx

Size

1.74 MB

Format

Microsoft Word XML

Checksum (MD5)

fbc8b04a9568b2e348c6dc40a6d3dea7

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