aaag-transparency-and-data
Use when handling data documentation, sharing, and spatial-data ethics for an Annals of the American Association of Geographers manuscript — provenance (sources, projections, processing), reproducibility, and geoprivacy / human-subjects protection. Prepares documentation; it does not over-state a verification gate the policy does not impose.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-transparency-and-data --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.
# Transparency & Spatial Data (aaag-transparency-and-data) The Annals (Taylor & Francis, for the AAG) follows publisher and disciplinary norms for **data availability and research integrity** rather than (as at some journals) a mandatory, editor-run replication check before publication. The right posture is: **document spatial-data provenance thoroughly, share what you ethically can, and protect location privacy.** Confirm the current data- availability / sharing policy on the Taylor & Francis journal page (检索于 2026-06；以官网为准). ## When to trigger - Preparing data documentation, a data-availability statement, or supplementary materials - Deciding what spatial data can be shared given geoprivacy, IRB, license, or proprietary limits - Documenting qualitative or restricted location data so claims remain credible - A reviewer asked how others could verify or reproduce the spatial analysis ## Spatial-data provenance (the geography-specific core) Document enough that another geographer could locate, re-project, and rebuild the dataset: - **Sources & licenses** for every layer (census, satellite, OSM, administrative, field-collected), with access dates and terms. - **Projection / CRS** and
- When to trigger
- Spatial-data provenance (the geography-specific core)
- Geoprivacy & human subjects (overrides sharing)
- Reproducibility (good practice even without a pre-publication gate)
- Transparency posture by data type (geography-specific)
- Checklist
- Anti-patterns
- Output format
- Supplementary resources
What does the aaag-transparency-and-data skill do?
Use when handling data documentation, sharing, and spatial-data ethics for an Annals of the American Association of Geographers manuscript — provenance (sources, projections, processing), reproducibility, and geoprivacy / human-subjects protection. Prepares documentation; it does not over-state a verification gate the policy does not impose.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaag-transparency-and-data --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.