What is the role of data sharing in research practice?

• A. It is optional and rarely used
• B. It enhances transparency and enables replication and secondary analyses
• C. It reduces data quality
• D. It unnecessarily complicates ethics

Answer: (C)

Data sharing in research practice promotes openness and accountability. By making data, along with code and metadata, available, others can inspect how analyses were conducted, which builds credibility and trust in findings. It enables replication of results, allowing researchers to verify conclusions or identify errors, and it opens the door to secondary analyses, where datasets can be reused to address new questions or support large-scale meta-analyses. Ethically, sharing requires safeguards like de-identification, appropriate consent, and data-use agreements or controlled access, but when these are in place it strengthens transparency and responsible use rather than undermining ethics. The idea that data sharing is optional and rarely used isn’t aligned with current practice, and sharing does not reduce data quality; it often encourages better data management, documentation, and stewardship. Overall, data sharing’s role is to enhance transparency and enable replication and secondary analyses.