1. Scope of Content

We collect and organize resources that support the study of words and language across disciplines, including:

• Datasets (word norms, lexical databases, corpora, experimental results)

• Software & Packages (analysis tools, modeling frameworks, stimulus builders)

• Papers & Preprints (linguistics, psycholinguistics, cognitive science, NLP)

• Guides & Tutorials that advance open, reproducible research with word data

2. Quality & Source Standards

• Prefer openly available, well-documented, and citable resources.

• Peer-reviewed work, preprints, and reputable lab repositories are welcome.

• Clearly mark exploratory or informal contributions as such (e.g., “work in progress”).

3. Organization & Metadata

Each entry should include:

• Title

• Author(s) / Contributor(s)

• Year (if available)

• Resource type (dataset, paper, code, etc.)

• Language(s) or scope

• Link / DOI

• Optional tags (topic, method, paradigm, etc.)

4. Inclusion vs. Exclusion

• Include anything that helps researchers understand, measure, or analyze words, meaning, or lexical processing across languages.

• Exclude unrelated materials (e.g., non-linguistic corpora, datasets without clear word-level relevance).

• Handle unclear cases by tagging as “Needs Review.”

5. Process & Community Input

• For now, the primary curator (you) gathers resources.

• Community contributions are encouraged through a simple suggestion form or pull request.

• Periodic reviews will remove duplicates, fix broken links, and improve metadata.

6. Transparency

• Maintain a visible changelog of what’s added or updated.

• Keep the policy public so contributors know what counts as in-scope.