To share or not to share: Incentivizing data sharing in life science communities

Area of Science:

• Scientific data sharing practices
• Research environment perceptions
• Open Data initiatives

Background:

• Open data sharing is crucial, but scientists face concerns like intellectual property loss and time investment.
• Current discussions on open data incentives often focus narrowly on evidence-based disincentives.
• A broader perspective is needed to address the complexities of data sharing.

Purpose of the Study:

• To explore how perceptions of the research environment influence scientific data sharing.
• To offer a novel interpretation of concerns surrounding open data practices.
• To suggest more creative approaches for incentivizing data sharing.

Main Methods:

• Utilized the Thomas Theorem: "If men define situations as real, they are real in their consequences."
• Employed empirical evidence from sub-Saharan African (bio)chemistry laboratories.
• Analyzed how individual perceptions shape data sharing behaviors.

Main Results:

• Individual perceptions of research environments significantly impact data sharing practices.
• Concerns about data sharing are influenced by subjective interpretations, not just objective evidence.
• The study highlights the psychological and social factors affecting open data adoption.

Conclusions:

• Incentivizing data sharing requires considering a wider range of environmental and perceptual factors.
• A more creative and holistic approach is needed to overcome disincentives in scientific communities.
• Understanding the "realness" of perceived situations is key to fostering open data practices.