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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 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 5
20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
  • Step 1
  • Step 2
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  • 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 191,841 to 191,860.First9,5899,5909,5919,5929,5939,5949,5959,596Last
Id Label Status Status Modified Notation
555774463 Sønderborg Kommune public Quick edit Valid 2025-07-18 555774463
555774464 Thisted Kommune private Quick edit Valid 2025-07-18 555774464
555774465 Thisted Kommune public Quick edit Valid 2025-07-18 555774465
555774466 Tønder Kommune private Quick edit Valid 2025-07-18 555774466
555774467 Tønder Kommune public Quick edit Valid 2025-07-18 555774467
555774468 Tårnby Kommune private Quick edit Valid 2025-07-18 555774468
555774469 Tårnby Kommune public Quick edit Valid 2025-07-18 555774469
555774470 Vallensbæk Kommune private Quick edit Valid 2025-07-18 555774470
555774471 Vallensbæk Kommune public Quick edit Valid 2025-07-18 555774471
555774472 Varde Kommune private Quick edit Valid 2025-07-18 555774472
555774473 Varde Kommune public Quick edit Valid 2025-07-18 555774473
555774474 Vejen Kommune private Quick edit Valid 2025-07-18 555774474
555774475 Vejen Kommune public Quick edit Valid 2025-07-18 555774475
555774476 Vejle Kommune private Quick edit Valid 2025-07-18 555774476
555774477 Vejle Kommune public Quick edit Valid 2025-07-18 555774477
555774478 Vesthimmerlands Kommune private Quick edit Valid 2025-07-18 555774478
555774479 Vesthimmerlands Kommune public Quick edit Valid 2025-07-18 555774479
555774480 Viborg Kommune private Quick edit Valid 2025-07-18 555774480
555774481 Viborg Kommune public Quick edit Valid 2025-07-18 555774481
555774482 Vordingborg Kommune private Quick edit Valid 2025-07-18 555774482
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?