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Miljödatasamverkan Data Dictionary
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Source Optional
 

Dataelement kopplade till concept i denna kodlista

Element Type Status
skos:editorialNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Koppla data element

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

20 concepts found, displaying all concepts.
Id Label Status Status Modified Notation
AvloppsSpillVatten AvloppsSpillVatten Quick edit Valid 2025-03-14
Dagvatten Dagvatten Quick edit Valid 2025-03-14
Dikesvatten Dikesvatten Quick edit Valid 2025-03-14
Dricksvatten Dricksvatten Quick edit Valid 2025-03-14
Grundvatten Grundvatten Quick edit Valid 2026-02-05
InkVattAvloppsv InkVattAvloppsv Quick edit Valid 2025-03-14
InkVattVattv_Ravatten InkVattVattv_Ravatten Quick edit Valid 2025-03-14
Lakvatten Lakvatten Quick edit Valid 2025-03-14
Lakvatten_obehandlat Lakvatten_obehandlat Quick edit Valid 2025-03-14
Lakvatten_utgaende Lakvatten_utgaende Quick edit Valid 2025-03-14
Nederbord Nederbord Quick edit Valid 2025-03-14
Ovrigt Ovrigt Quick edit Valid 2025-03-14
Processvatten Processvatten Quick edit Valid 2025-03-14
Recipient Recipient Quick edit Valid 2025-03-14
Referens Referens Quick edit Valid 2025-03-14
Slackvatten Slackvatten Quick edit Valid 2025-03-14
Slamvatten Slamvatten Quick edit Valid 2025-03-14
UtgVattAvloppsv UtgVattAvloppsv Quick edit Valid 2025-03-14
UtgVattVattenv UtgVattVattenv Quick edit Valid 2025-03-14
Ytvatten Ytvatten Quick edit Valid 2025-03-14
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?