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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Site code
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
sitecodes_CC_ISO2 Vocabulary
Released
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19 Aug 2020
sitecodes_DATE_ALLOCATED Quantitative
Released
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20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
  • Step 1
  • Step 2
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_STATUS Fixed values
Released
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20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 191,821 to 191,840.First9,5889,5899,5909,5919,5929,5939,5949,595Last
Id Label Status Status Modified Notation
555774443 Silkeborg Kommune public Quick edit Valid 2025-07-18 555774443
555774444 Skanderborg Kommune private Quick edit Valid 2025-07-18 555774444
555774445 Skanderborg Kommune public Quick edit Valid 2025-07-18 555774445
555774446 Skive Kommune private Quick edit Valid 2025-07-18 555774446
555774447 Skive Kommune public Quick edit Valid 2025-07-18 555774447
555774448 Slagelse Kommune private Quick edit Valid 2025-07-18 555774448
555774449 Slagelse Kommune public Quick edit Valid 2025-07-18 555774449
555774450 Solrød Kommune private Quick edit Valid 2025-07-18 555774450
555774451 Solrød Kommune public Quick edit Valid 2025-07-18 555774451
555774452 Sorø Kommune private Quick edit Valid 2025-07-18 555774452
555774453 Sorø Kommune public Quick edit Valid 2025-07-18 555774453
555774454 Stevns Kommune private Quick edit Valid 2025-07-18 555774454
555774455 Stevns Kommune public Quick edit Valid 2025-07-18 555774455
555774456 Struer Kommune private Quick edit Valid 2025-07-18 555774456
555774457 Struer Kommune public Quick edit Valid 2025-07-18 555774457
555774458 Svendborg Kommune private Quick edit Valid 2025-07-18 555774458
555774459 Svendborg Kommune public Quick edit Valid 2025-07-18 555774459
555774460 Syddjurs Kommune private Quick edit Valid 2025-07-18 555774460
555774461 Syddjurs Kommune public Quick edit Valid 2025-07-18 555774461
555774462 Sønderborg Kommune private Quick edit Valid 2025-07-18 555774462
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?