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Table: ndb.depthreferencesystem#

Description#

No description available in database.

TODO: Expand this description with: - What data does this table store? - What is the business/research purpose? - How is this data collected or generated? - Are there any important caveats or data quality issues?

Table Structure#

Visual Schema

Schema: ndb | Table Comment: No description available

Statistics#

Metric Value
Row Count 8
Total Size 64 kB
Table Size 8192 bytes
Indexes Size 16 kB

Relationships#

Primary Key: depthreferencesystemid

Foreign Keys:

Referenced By:

TODO: Document which tables reference this table (will be auto-detected in validation).

Data Dictionary#

Column Type Nullable Default Constraints Description
depthreferencesystemid integer nextval('ndb.depthreference... PRIMARY KEY
depthreference text - -
depthreferencenotes text - -
depthreferencepublicationid integer - -

TODO: Review column descriptions and add comments where missing.

Usage Examples#

Example 1: Basic Selection#

-- Get recent records from depthreferencesystem
SELECT *
FROM depthreferencesystem
ORDER BY depthreferencesystemid DESC
LIMIT 10;

Purpose: Retrieve the 10 most recent records from depthreferencesystem

Example 2: Count Records#

-- Count total records
SELECT COUNT(*) as total_records
FROM depthreferencesystem;

Purpose: Get the total number of records in depthreferencesystem

Example 3: Join with publications#

-- Join with related table
SELECT 
    t1.*,
    t2.*
FROM depthreferencesystem t1
INNER JOIN publications t2 
    ON t1.depthreferencepublicationid = t2.publicationid
LIMIT 100;

Purpose: Retrieve depthreferencesystem records with related data from publications

Example 4: Aggregate Data#

-- Aggregate records by depthreference
SELECT 
    depthreference,
    COUNT(*) as count
FROM depthreferencesystem
GROUP BY depthreference
ORDER BY count DESC
LIMIT 10;

Purpose: Count records grouped by depthreference

TODO: Add more specific examples relevant to common research questions or operational tasks.

Data Quality Notes#

TODO: Document: - Known data quality issues - Validation rules - Expected data ranges - Update frequency and mechanisms - Any ETL processes that populate this table

Maintenance#

  • Data Owner: TODO: Assign owner
  • Update Frequency: TODO: Document frequency
  • Last Major Schema Change: TODO: Document when schema last changed

TODO: Link to: - Related API endpoints - Data collection procedures - Analysis notebooks or reports that use this table - External ontologies or standards