Guide to Social Science Data Preparation and Archiving
Inter-university Consortium for Political and Social Research. (2012). Guide to Social Science Data Preparation and Archiving: Best Practice Throughout the Data Life Cycle (5th edition).
- Type
- Unclassified
- Intellectual base
- Unclassified
- Year
- 2012
- Link
- no authoritative link yet
Cited by
1 citation across 1 artifact.
Domain-specific
- Data Card
- ML dataset publication — the home turf: the "Datasheets for Datasets" practice (Gebru et al.) attaching a fixed schema of motivation, composition, collection, recommended-and-out-of-scope uses, consent, and known confounds at the dataset's release boundary. Model and system cards — the near siblings (Mitchell et al.) extending the same move from datasets to trained models and deployed systems, with the schema enumerating the axes each artifact must be characterized on. ML artifact hubs — Hugging Face operationalises dataset and model cards as structured metadata fields that the Hub renders on the repository's main page, routinizing card-style documentation for shared ML artifacts. Research data repositories — ICPSR, Dryad, and similar deposit forms require schematized description and provenance at the publication boundary, co-adopting the discipline through their own required-fields schemas
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