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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Attitudes and norms affecting scientists' data reuse.

Renata Gonçalves Curty1, Kevin Crowston2, Alison Specht3,4

  • 1Departamento de Ciência da Informação, Universidade Estadual de Londrina, Londrina, PR, Brazil.

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Scientists reuse data most when they believe it is effective and important. Demonstrating the value of scientific data sharing can encourage wider adoption and normalization of data reuse practices.

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Area of Science:

  • Environmental Science
  • Data Science
  • Scientific Research

Background:

  • Scientific data sharing is valued, yet factors influencing data reuse are not fully understood.
  • Understanding scientists' beliefs and attitudes is crucial for promoting data reuse.

Purpose of the Study:

  • To investigate the relationship between scientists' beliefs/attitudes and their data reuse behavior.
  • To identify key drivers and barriers to scientific data reuse.

Main Methods:

  • Utilized existing survey data from a global scientist survey administered by the DataONE Usability and Assessment Working Group.
  • Applied the Theory of Reasoned Action to analyze factors influencing self-reported data reuse behavior.

Main Results:

  • Perceived efficacy and efficiency of data reuse strongly predict reuse behavior.
  • Perceived importance of data reuse correlates with increased reuse.
  • Lack of trust and perceived negative norms were not significant barriers to reuse.
  • Use of models and remotely-sensed data associated with higher reuse rates.

Conclusions:

  • Demonstrating the value of scientific data sharing is key to encouraging and normalizing reuse.
  • Theoretical and practical suggestions can support investment and policies favoring data sharing.
  • Future efforts should focus on highlighting the practical benefits and successful applications of data reuse.