0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessIn 2013, the Center for Open Science (COS) proposed that journal articles be awarded “badges” for engaging in open science practices including “preregistration”. In 2015, the Transparency and Openness Promotion Guidelines (TOP 2015) promoted “preregistration” of studies and analysis plans. Since then, the term “preregistration” has been used to describe different research outputs created at different times—sometimes, but not always, including a study registration. The updated TOP 2025 Guidelines no longer use the term “preregistration.” Instead, TOP 2025 disambiguates specific research outputs such as study registrations, study protocols, analysis plans, code, and other research materials. We also explain that the timing of “preregistration” is often unclear, and we propose researchers describe the time at which outputs are created and shared in relation to key study activities. Adopting more precise terminology used in TOP 2025, and describing the time at which specific research outputs are shared, will enhance understanding and support better reporting and implementation of open science.
Evan Mayo‐Wilson, Sean Grant, Katherine S. Corker, David Moher (2025). Consistent and precise description of research outputs could improve implementation of open science. , DOI: https://doi.org/10.31222/osf.io/q6xwp_v2.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2025
Authors
4
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.31222/osf.io/q6xwp_v2
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access