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cogpsych-open-science-and-transparency

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Use when meeting Cognitive Psychology (Elsevier) open-science expectations — sharing data, model code, analysis scripts, and materials so the modeling is reproducible, depositing in repositories with persistent identifiers, completing the Elsevier research-data and competing-interest declarations, and preregistering where applicable. Prepares compliance; it does not waive requirements. Verify current wording on the official guide for authors.

Cognitive-Psychology-Skills/skills/cogpsych-open-science-and-transparency/SKILL.md

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# Open Science & Transparency (cogpsych-open-science-and-transparency)

Because the contribution is a **model fit to data**, reproducibility here means more than open data: it
means the **model code and analysis scripts regenerate every reported fit**. Authors are strongly
encouraged to share data, model code, and materials. This skill prepares the deposits and the Elsevier
declarations early, so the modeling is reproducible at submission rather than promised at acceptance.
Confirm the current policy wording on the journal's guide for authors (检索于 2026-06；以官网为准).

## When to trigger

- Building the data, model-code, and materials deposits
- Completing Elsevier's research-data statement and competing-interest declaration
- Deciding whether (and how) to claim a restriction on sharing sensitive/third-party data
- Linking a preregistration and reporting its status
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