Open data, trials and new ethics of using others' work.

Area of Science:

• Research ethics
• Data science
• Scientific publishing

Background:

• Traditional research norms emphasize data privacy and controlled publication.
• The rise of open data challenges these norms, enabling early access to research findings.
• The Systolic Blood Pressure Intervention Trial (SPRINT) Data Analysis Challenge provides a case study for open data use.

Purpose of the Study:

• To examine the ethical implications of using open data before formal publication.
• To assess potential infringements on researchers' rights to analyze their data and receive credit for their ideas.
• To identify remediable flaws in open data practices.

Main Methods:

• Analysis of the SPRINT Data Analysis Challenge as a novel open data environment.
• Exploration of ethical considerations regarding third-party access to unpublished trial data.
• Examination of the impact of early data access on researchers' intellectual property and attribution.

Main Results:

• Open data access allowed third-party assessment of trial outcomes before official publication.
• Trialists gained access to unpublished analyses, potentially preempting their own findings.
• The challenge highlighted a gap in crediting ideas derived from competition submissions.

Conclusions:

• Open data practices, while beneficial, may create ethical dilemmas regarding data analysis rights and idea attribution.
• Further discussion and potential adjustments are needed to reconcile open data with established research ethics.
• The SPRINT Data Analysis Challenge serves as a valuable example for understanding and refining open data policies.