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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
  • Step 1
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20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • 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 191,741 to 191,760.First9,5849,5859,5869,5879,5889,5899,5909,591Last
Id Label Status Status Modified Notation
555774363 Hillerød Kommune public Quick edit Valid 2025-07-18 555774363
555774364 Hjørring Kommune private Quick edit Valid 2025-07-18 555774364
555774365 Hjørring Kommune public Quick edit Valid 2025-07-18 555774365
555774366 Holbæk Kommune private Quick edit Valid 2025-07-18 555774366
555774367 Holbæk Kommune public Quick edit Valid 2025-07-18 555774367
555774368 Holstebro Kommune private Quick edit Valid 2025-07-18 555774368
555774369 Holstebro Kommune public Quick edit Valid 2025-07-18 555774369
555774370 Horsens Kommune private Quick edit Valid 2025-07-18 555774370
555774371 Horsens Kommune public Quick edit Valid 2025-07-18 555774371
555774372 Hvidovre Kommune private Quick edit Valid 2025-07-18 555774372
555774373 Hvidovre Kommune public Quick edit Valid 2025-07-18 555774373
555774374 Høje-Taastrup Kommune private Quick edit Valid 2025-07-18 555774374
555774375 Høje-Taastrup Kommune public Quick edit Valid 2025-07-18 555774375
555774376 Hørsholm Kommune private Quick edit Valid 2025-07-18 555774376
555774377 Hørsholm Kommune public Quick edit Valid 2025-07-18 555774377
555774378 Ikast-Brande Kommune private Quick edit Valid 2025-07-18 555774378
555774379 Ikast-Brande Kommune public Quick edit Valid 2025-07-18 555774379
555774380 Ishøj Kommune private Quick edit Valid 2025-07-18 555774380
555774381 Ishøj Kommune public Quick edit Valid 2025-07-18 555774381
555774382 Jammerbugt Kommune private Quick edit Valid 2025-07-18 555774382
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?