In open science, preregistration and data sharing contribute to what outcomes?

In open science, preregistration and data sharing contribute to what outcomes?

• A. Transparency and reproducibility
• B. Increased paywalls
• C. Reduced collaboration
• D. Slower progress

Answer: (B)

Preregistration and data sharing promote transparency and reproducibility in research. By preregistering, researchers publicly lay out hypotheses, methods, and analysis plans before collecting data, which helps prevent changing hypotheses after seeing results and reduces practices like p-hacking. Sharing data and code allows others to verify analyses, reproduce findings, and conduct new analyses or meta-analyses, strengthening trust in conclusions. These practices align with open science by lowering barriers to scrutiny and collaboration, often speeding up progress. The other options describe outcomes that open science aims to reduce or avoid, such as paywalls, reduced collaboration, or slower progress.

Preregistration and data sharing promote transparency and reproducibility in research. By preregistering, researchers publicly lay out hypotheses, methods, and analysis plans before collecting data, which helps prevent changing hypotheses after seeing results and reduces practices like p-hacking. Sharing data and code allows others to verify analyses, reproduce findings, and conduct new analyses or meta-analyses, strengthening trust in conclusions. These practices align with open science by lowering barriers to scrutiny and collaboration, often speeding up progress. The other options describe outcomes that open science aims to reduce or avoid, such as paywalls, reduced collaboration, or slower progress.