Data Transparency
Data & Code
Data Citation & Transparency
Authors must provide proper citations for all data sources. We encourage sharing all relevant research data via reputable repositories to promote transparency.
Analysis Code Transparency
Analysis code should be presented in a clear, organized manner with comprehensive documentation outlining each analysis stage and algorithm usage.
Methodology & Reporting
Materials Transparency
Detailed information about instruments, questionnaires, or digital versions of tools used to enhance replicability.
Reporting Guidelines
Adherence to established guidelines (CONSORT, PRISMA, STROBE) is mandatory.
Standard of Reporting Policy →Study & Analysis Preregistration
"By documenting design and analysis plans in advance, researchers establish a clear record of intentions, helping differentiate between confirmatory and exploratory analyses."
Validation & Recognition
Replication Studies
Replication is a fundamental aspect of the scientific process. We encourage rigorous duplication of methodology and analysis to independently assess original results.
Registered Reports
Peer review based on study design before data collection to mitigate publication bias.
Open Science Badges
Recognizing and incentivizing open research practices.