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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
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  • 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 191,681 to 191,700.First9,5819,5829,5839,5849,5859,5869,5879,588Last
Id Label Status Status Modified Notation
555774303 Ballerup Kommune public Quick edit Valid 2025-07-18 555774303
555774304 Billund Kommune private Quick edit Valid 2025-07-18 555774304
555774305 Billund Kommune public Quick edit Valid 2025-07-18 555774305
555774306 Bornholm Kommune private Quick edit Valid 2025-07-18 555774306
555774307 Bornholm Kommune public Quick edit Valid 2025-07-18 555774307
555774308 Brøndby Kommune private Quick edit Valid 2025-07-18 555774308
555774309 Brøndby Kommune public Quick edit Valid 2025-07-18 555774309
555774310 Brønderslev Kommune private Quick edit Valid 2025-07-18 555774310
555774311 Brønderslev Kommune public Quick edit Valid 2025-07-18 555774311
555774312 Dragør Kommune private Quick edit Valid 2025-07-18 555774312
555774313 Dragør Kommune public Quick edit Valid 2025-07-18 555774313
555774314 Egedal Kommune private Quick edit Valid 2025-07-18 555774314
555774315 Egedal Kommune public Quick edit Valid 2025-07-18 555774315
555774316 Esbjerg Kommune private Quick edit Valid 2025-07-18 555774316
555774317 Esbjerg Kommune public Quick edit Valid 2025-07-18 555774317
555774318 Fanø Kommune private Quick edit Valid 2025-07-18 555774318
555774319 Fanø Kommune public Quick edit Valid 2025-07-18 555774319
555774320 Favrskov Kommune private Quick edit Valid 2025-07-18 555774320
555774321 Favrskov Kommune public Quick edit Valid 2025-07-18 555774321
555774322 Faxe Kommune private Quick edit Valid 2025-07-18 555774322
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?