The purpose of the current multiple descriptive case study was to examine the perceptions of 14 aquatic research scientists on common search behavior to understand the amount of redundantly used resources, and increase data-relationship availability and active sharing of data. The methodology consisted of examining the perceptions of geographically separated groups of aquatic research scientists on the qualitative exploration of scientific search behavior, and the identification of the resulting data gathered through open-ended interview questions, analyzed using the NVivo 9 Software. The data analysis revealed 10 themes: (S1) the research supporting raw and metadata is shared on mutual requests, (S2) the aquatic research information is reused by other scientists, (S3) the research datasets are generally applicable, (S4) information sharing is beneficial to the scientific community, (S5) the people participating determine the success of the research, (S6) all aquatic research information is generally available after publication, (S7) research information is required from abroad, (S8) all aquatic research information is shared prior to its publishing, (S9) stakeholder funding is imperative to start conducting research, and (S10) the local IT department actively support the scientists. The results of the current study imply that information sharing and collaboration is not limited to aquatic research scientists, but may require the management of a metadata model based on team behavior governed by fostering organizational coalitions based on knowledge management, to design new strategies to support knowledge management in aquatic research, and to understand inter-organizational knowledge management.
|Commitee:||Knight, Matthew, Taylor, Joy|
|School:||University of Phoenix|
|School Location:||United States -- Arizona|
|Source:||DAI-A 76/01(E), Dissertation Abstracts International|
|Subjects:||Management, Information Technology|
|Keywords:||Active data sharing, Aquatic research scientists, Data classification, Data-relationship availability, Knowledge management, Meta information|
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