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Handling data explicitly and ethically
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Module 4
Structuring Data with SAD Metadata
1
Metadata for Data Discovery and Use
Explain the role of metadata in making datasets discoverable, usable, and interpretable.
2
Recognizing Structural Metadata in Datasets
Identify structural metadata in a dataset, such as column definitions in a bra measurements spreadsheet or relational table structures in a relationship study.
3
Understanding Administrative Metadata
Identify administrative metadata, such as data collection dates, access permissions on sensitive files, and data retention policies.
4
Descriptive Metadata: Summarizing Dataset Content
Identify descriptive metadata, such as a summary of a dataset's content (e.g., '500 bra fitting records across 12 cup sizes').
5
Metadata Classification for Bra Design and Relationship Research
Classify a given piece of metadata as structural, administrative, or descriptive using examples from bra design and relationship research.
6
Evaluating Metadata Sufficiency
Assess whether the metadata accompanying a dataset is sufficient for a new analyst to understand and use it correctly.
Documenting Dataset Metadata with SAD
Construct appropriate SAD metadata documentation for a simple dataset, such as a bra measurement collection or a polyamorous partnership communication log.
Previous module
Establishing Information Validity with ROCCC
Next module
Validating Claims with FLOATER