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Reads metadata without network requests. For dsir_data, indicator identities, dimension values and coverage describe the current rows; provenance and input counts describe the original conversion input.

Usage

dsir_metadata(x)

Arguments

x

A download, directory or cleaned result carrying DSIR metadata, a dsir_data object, or one of the bundled gho_catalog, sdg_catalog and ghe_catalog datasets.

Value

A named list. For an analysis object it contains schema_version, layout, provenance, input, fields, processing, current, indicators and dimensions. Current indicator labels and dimension values are observations from the table, not independently fetched definitions. Read processing$semantics before interpreting them. Catalog metadata includes its snapshot version, package build version and source-specific retrieval records. current describes the supplied table; source record counts describe the complete bundled snapshot.

Retrieval metadata

Downloads and directories retain their existing classes and columns. dsir_metadata(x)$sources records the actual backend, endpoint, UTC retrieved_at, retrieval status, cache use, source record count, reported API version and release. Unknown versions and times remain NA. Each source row includes its own server query. query records the public selection, including local filters and reference-country/year restrictions. result describes the function's original return; current is computed from the supplied object. Source counts precede local filtering and GHE measure pivoting, so they can differ from returned row counts.

Result status distinguishes success, empty, failed, incomplete, invalid, partial and unverified. Completeness concerns the requested retrieval, not global indicator coverage. It is NA when the response lacks sufficient completeness information. A successful HTTP response alone does not establish completeness of an observation download.

Cached records retain their original retrieval time and set cache_hit. A historical fallback uses retrieval_status = "bundled_snapshot" and retains the original collection date. It does not prove live availability. Failed SDG list requests still return NULL with a warning; NULL cannot carry metadata. Other empty failure results record no successful retrieval time. Existing WHO who_provenance and catalog_snapshot attributes remain available for compatibility.

Cleaners preserve acquisition metadata even for empty input. This is independent of keep_metadata, which controls optional data columns. as_dsir_data() also retains sources, query and result. These are historical acquisition records, not an audit of arbitrary changes to a plain tibble. Use the S3 object's processing status to track supported transformations. saveRDS() preserves attributes; CSV does not.

Cleaning records live in cleaning, also for output = "tibble" and user-supplied input without acquisition records. They contain the cleaner, package version, UTC cleaning time, input/output sizes and columns, options, and a profile of semantic fields. Each profile records its retained column (or NA), distinct count including missing values, missing count and its constant value, if any. Varying omitted values are not stored row by row. Recorded aliases link equivalent core and named dimensions. Cleaning time never substitutes for retrieval time. These records describe the cleaning input; current coverage and subsequent field status remain separate.

Map metadata

dsir_map() records layout = "map", creation time, selected keys and value/year columns, input metadata and boundary provenance. Downloaded boundaries record per-country endpoints, queries, original retrieval times, item modification times, source terms, checksums and cache use. Supplied boundaries are labelled user_supplied, with no invented retrieval history. This describes map creation, not later ggplot edits or additional layers.

Examples

dsir_metadata(gho_catalog)$sources