Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
› bjps-transparency-and-data
bjps-transparency-and-data
GitHub用于准备BJPS期刊的透明性与复制数据材料。涵盖定量/定性数据归档、受限访问豁免申请及构建可复现包，确保符合DA-RT标准并顺利投稿。
Trigger Scenarios
构建复制/透明性数据包
稿件被接收需提交材料
因隐私或法律限制无法完全共享数据
撰写重新分析已发表结果的评论文章
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill bjps-transparency-and-data -g -y
SKILL.md
Frontmatter
{
"name": "bjps-transparency-and-data",
"description": "Use when preparing the replication \/ transparency materials for a British Journal of Political Science (BJPS) manuscript. BJPS is a DA-RT signatory and requires authors to deposit replication data and code in the BJPolS Dataverse (Harvard Dataverse) at acceptance, with restricted-access exemptions. Covers quantitative and qualitative transparency. Prepares the package; it does not waive requirements."
}
Transparency & Replication Data (bjps-transparency-and-data)
BJPS is a signatory of the Data Access and Research Transparency (DA-RT) statement: authors "are not allowed to withhold information used to perform an analysis featured in a BJPolS piece." At acceptance, replication data and code are deposited in the BJPolS Dataverse on Harvard Dataverse, which issues a citable DOI for the data. Build the package as you go so acceptance does not stall.
When to trigger
- Building the replication / transparency package
- A manuscript reached acceptance and you must deposit materials
- Data cannot be fully shared (privacy, ethics, legal/provider restrictions) and you need the restricted-access exemption path
- A Comment that re-analyzes a published result (materials expectations are central)
What BJPS requires (verify current wording on the policy page)
- Deposit to the BJPolS Dataverse. Replication data and code are uploaded to the BJPolS Dataverse on Harvard Dataverse, the journal's dedicated collection with permanent identifiers; you receive citation information including a DOI for the data. Not a personal website or generic cloud link.
- No withholding. You may not withhold information used to produce an analysis in the paper. Treat the deposit as enabling independent replication, not as a formality.
- Quantitative materials. Data, code, and documentation sufficient to regenerate every reported result. Master script + README + pinned versions + seeds.
- Qualitative materials. Share the materials and evidence used to support the claims (e.g., evidence tables, annotated sources, interview protocols), with access controls where needed (the Qualitative Data Repository, QDR, supports controlled access).
When data cannot be shared (restricted-access exemption)
- Explain why the relevant data are not available — BJPS allows exemptions for restricted-access source data (ethical/privacy concerns or provider/legal restrictions).
- Provide README instructions on exactly how others can obtain the data (access process, application, provider contact).
- Where possible, provide synthetic data resembling the unavailable data so the code can be run.
- Questions about the replication policy can be directed to the BJPolS editorial staff (待核实 current contact on the live policy page).
Build-as-you-go checklist
- One master script regenerates every table and figure from raw/constructed data
- README documents data provenance, construction steps, and how to reproduce each exhibit
- Seeds set and reported for every stochastic step
- Software/package versions pinned (
renv.lock/requirements.txt/ recorded installs) - Exhibit numbers in the manuscript match the package output exactly
- Restricted data: exemption note + access instructions + synthetic data where feasible
- Preregistration / pre-analysis plan linked (anonymized) where applicable
Anti-patterns
- Treating the deposit as a post-acceptance afterthought
- Depositing code that does not actually reproduce the printed tables/figures
- A personal URL instead of the BJPolS Dataverse
- Claiming data are restricted without giving an access path or synthetic substitute
- Undocumented, un-seeded, unpinned code that "works on my machine"
Output format
【Repository】BJPolS Dataverse (Harvard) — package staged? [Y/N]
【Reproduces tables/figures?】master script verified locally? [Y/N]
【Documentation】README + provenance + seeds + pinned versions? [Y/N]
【Restricted data?】exemption note + access path + synthetic data?
【Qualitative transparency】evidence/sources documented? [Y/N/NA]
【Next】bjps-review-process
Supplementary resources
../../resources/external_tools.md— reproducibility tooling and qualitative-transparency options (QDR, ATI)../../resources/official-source-map.md— BJPS DA-RT / replication policy + BJPolS Dataverse
Version History
- 1839142 Current 2026-07-05 12:26
