Document (#40965)

Author

Kim, Y.
Yoon, A.

Title

Scientists' data reuse behaviors : a multilevel analysis

Source

Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2709-2719

Year

2017

Abstract

This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. This research employed an integrated theoretical framework combining institutional theory and the theory of planned behavior. The combined theoretical framework can apply the institutional theory at the individual level and extend the theory of planned behavior by including relevant contexts. This study utilized a survey method to test the proposed research model and hypotheses. Study participants were recruited from the Community of Science's (CoS) Scholar Database, and a total of 1,528 scientists responded to the survey. A multilevel analysis method was used to analyze the 1,237 qualified responses. This research showed that scientists' data reuse intentions are influenced by both disciplinary level factors (availability of data repositories) and individual level factors (perceived usefulness, perceived concern, and the availability of internal resources). This study has practical implications for promoting data reuse practices. Three main areas that need to be improved are identified: Educating scientists, providing internal supports, and providing external resources and supports such as data repositories.

Content

Vgl.: http://onlinelibrary.wiley.com/doi/10.1002/asi.23892/full.

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4. Wang, X.; Duan, Q.; Liang, M.: Understanding the process of data reuse : an extensive review (2021) 0.35

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5. Lu, K.; Joo, S.; Lee, T.; Hu, R.: Factors that influence query reformulations and search performance in health information retrieval : a multilevel modeling approach (2017) 0.30

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