From cognitive-psychology-skills
Prepares data, model code, materials, and Elsevier declarations to meet Cognitive Psychology's reproducibility and open-science requirements.
How this skill is triggered — by the user, by Claude, or both
Slash command
/cognitive-psychology-skills:cogpsych-open-science-and-transparencyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Because the contribution is a **model fit to data**, reproducibility here means more than open data: it
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).
A model statement for the recognition-memory program; confirm required headings on the official page.
Open Practices
Data: Trial-level confidence-ROC data for Experiments 1-3 are at OSF
(DOI 10.XXXX/osf.io/abcde), with a codebook.
Model code: The UVSD/DPSD fitting code (R/Stan) reproduces all reported fits,
model-comparison values, and figures in a fresh session; a seeded
run log and pinned environment are included (DOI 10.XXXX/.../fghij).
Materials: Stimulus pools, list construction, and task code are deposited
(DOI 10.XXXX/osf.io/klmno).
Preregistration: The model space and comparison criteria were preregistered
before data collection (osf.io/pqrst); one post hoc bias analysis
is reported as exploratory.
Declarations: Competing interests: none. Funding and author contributions as
stated. (If applicable: data-sharing restriction + access path.)
| Situation | What to deposit / state |
|---|---|
| Fully shareable data + model code + materials | DOIs for each + a fresh-session run log |
| Sensitive human data | synthetic/aggregated data + IRB-gated access path; still share model code |
| Licensed/proprietary stimuli | share what the license allows; cite source; share task/model code |
| Secondary/third-party dataset | link source, share derivation + fitting scripts, document version |
| "Available on request" | replace with a persistent DOI before submission |
【Open data】deposited + DOI + data dictionary? [Y/N]
【Model code】deposited + fits regenerate in a fresh session? [Y/N]
【Analysis scripts】seeded + versions pinned? [Y/N]
【Materials】deposited + DOI? [Y/N]
【Preregistration】linked + consistent (where applicable)? [Y/N/NA]
【Elsevier declarations】competing interest + research-data + funding? [Y/N]
【Next】cogpsych-review-process
../../resources/external_tools.md — OSF, Mendeley Data, Zenodo, Stan/JAGS, renv, preregistration templates../../resources/official-source-map.md — Elsevier research-data and code-sharing policynpx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin cognitive-psychology-skillsPrepares Psychological Science submissions for open-science requirements including open data/materials, Research Transparency Statement, persistent identifiers, and preregistration quality.
Guides compliance with JAP's TOP open-science requirements: data/materials/code deposits with DOIs, data-availability statements, and preregistration linking.
Helps meet transparency and reproducibility obligations for a Perspectives on Psychological Science (PoPS) piece, including data deposit, protocol preregistration, and disclosure.