--- name: lang-data-and-transparency description: 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. --- # 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 corpus is licensed, share the **derived counts + the extraction code** so the pipeline is reproducible even when the source text cannot be redistributed. ### Elicited / fieldwork - Provide **numbered, Leipzig-glossed examples with sources**; where possible, archive recordings and annotations in a language archive (e.g., ELAR, PARADISEC, AILLA, TLA) under access terms the community agreed to. - Document the **elicitation and transcription workflow** so another linguist could interpret the data. ### Phonetic - Share measurement scripts (e.g., Praat scripts) and, where consent allows, the sound files or acoustic measurements; state the alignment/measurement settings. ## Ethics of linguistic data (do not skip) - **Consent and community agreements** govern what may be archived and how; open sharing is not always ethical, and "restricted access" is a legitimate, respectful choice. - **Anonymize** speakers where required; do not expose identities via metadata or audio. - Credit consultants and communities per current best practice and any community protocol. ## Calibration (do not over- or under-state, hedged) *Language* rewards transparency as craft, but the pack does **not** assert a specific editor-verified replication mandate — verify the current data-availability policy on the CUP/LSA author pages before claiming any gate. The honest posture: share what you ethically can, document what you cannot, and never present restricted community data as if it were freely open. Illustrative: a variationist study shares the coded token file, the R script, and a codebook on OSF, but keeps the raw interview audio restricted under the community agreement and says so in the data statement — transparent and ethical at once. ## Referee/editor conformance check | Slip reviewers catch | The Language-appropriate fix | |----------------------|------------------------------| | "Results not reproducible from what's shared." | post analysis data + script; pin versions, set seeds | | "Glosses can't be checked." | numbered Leipzig-glossed examples with per-token sources | | "Licensed corpus can't be shared." | share derived counts + extraction code + a pointer to the source | | "Speaker identities exposed." | anonymize; restrict audio per consent | | "Claims a deposit rule that isn't stated." | describe your sharing; verify the live policy, don't invent one | ## Execution bridge (StatsPAI / Stata MCP) Transparency is a property of the path from data to number, and the cheapest way to keep that path honest is not to have retyped anything along it. Full map: [`execution-with-mcp`](../../../shared-resources/empirical-methods/execution-with-mcp.md). - **Run it, then cite it.** A number that was computed by a tool call can be recomputed by a reader with the same script; a number that was remembered cannot. If no server is connected, adapt `../../resources/code/` and say in the paper that you did. - **Deposit what reproduces the table**, not a spreadsheet of the finished table: script, seed, pinned package versions, and the derived dataset where the licence and the speakers' consent allow it. - **Where consent or endangerment limits deposit** (see the ethics section above), archive the analysis code anyway — the code is not the speakers' data, and withholding it is the part reviewers most often read as evasion. ## Anti-patterns - Quantitative results with no shared data or script (reviewers cannot reproduce the model) - Treating community/consultant data as "open" without consent or agreement - Exposing speaker identities through metadata, audio, or examples - Glossed data with no source, so a reader cannot verify the token - Over-stating a journal replication mandate the live policy does not impose (verify first) ## Transparency pass for Language Treat this skill as an executable review pass, not a prose hint. First lock what evidence underlies each claim; then judge whether the manuscript answers the venue's real reader: linguists who value checkable evidence and who also respect the ethics of working with speakers and communities. - **Do the pass:** for each claim, name where the supporting data and code live, the access terms, and any ethical constraint on sharing. - **Return a ledger:** give `claim / evidence / where-it-lives / sharing-constraint` rows so the next agent can act. - **Sibling guard:** documentation-heavy work may fit *Language Documentation & Conservation*; if a sibling owns the contribution, recommend re-routing before polishing. - **Stop condition:** do not give submission-ready advice until `resources/official-source-map.md` has been checked for the current data-availability policy. ## Output format ``` 【Data types】experiment / corpus / elicited / phonetic / archival 【Shared】analysis data + script posted (repo/OSF)? [Y/N/NA] 【Glossed examples】numbered, Leipzig, sourced? [Y/N] 【Ethics】consent / community agreement / anonymization handled? [Y/N] 【Data statement】accurate, no over-stated mandate? [Y/N] 【Next】lang-tables-figures ``` ## Supplementary resources - [`../../resources/external_tools.md`](../../resources/external_tools.md) — archives, OSF, glossing and reproducibility tooling - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — Language data-availability policy live-check