lang-data-and-transparency
Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated deposit is as wrong as hiding materials. Documents and shares; it does not run the analysis.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-data-and-transparency --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data & Transparency (lang-data-and-transparency) *Language* increasingly treats **documented, checkable data and reproducible analysis** as a mark of serious work: a reader should be able to see the pattern and, where quantitative, re-run the model. But the requirements differ by subfield and evolve, and linguistic data carry **ethical obligations** to consultants and communities that generic "open data" rhetoric ignores. This skill helps you document, share, and protect your materials appropriately — without over-stating a deposit mandate the journal may not impose. ## When to trigger - Assembling the data/code/annotation to accompany a submission - Deciding what can and cannot be shared (consultant confidentiality, community agreements, licensed corpora) - A reader asked for the dataset, the glossed corpus, the sound files, or the analysis script - Writing a data-availability statement ## What "transparent" means at Language (by data type) ### Quantitative (experiment / corpus) - Share the **analysis-ready data and the script** that reproduces the models, tables, and figures; pin package versions and set seeds. A repository (e.g., OSF) with a readme is the norm. - If the raw co
- When to trigger
- What "transparent" means at Language (by data type)
- Quantitative (experiment / corpus)
- Elicited / fieldwork
- Phonetic
- Ethics of linguistic data (do not skip)
- Calibration (do not over- or under-state, hedged)
- Referee/editor conformance check
- Anti-patterns
- Transparency pass for Language
- Output format
- Supplementary resources
What does the lang-data-and-transparency skill do?
Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed corpora, sound files, and the ethics of working with language consultants and communities. Language values transparent, documented data; over-stating a mandated deposit is as wrong as hiding materials. Documents and shares; it does not run the analysis.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill lang-data-and-transparency --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.