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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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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
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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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20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
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  • Step 5
20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 191,801 to 191,820.First9,5879,5889,5899,5909,5919,5929,5939,594Last
Id Label Status Status Modified Notation
555774423 Odense Kommune public Quick edit Valid 2025-07-18 555774423
555774424 Odsherred Kommune private Quick edit Valid 2025-07-18 555774424
555774425 Odsherred Kommune public Quick edit Valid 2025-07-18 555774425
555774426 Randers Kommune private Quick edit Valid 2025-07-18 555774426
555774427 Randers Kommune public Quick edit Valid 2025-07-18 555774427
555774428 Rebild Kommune private Quick edit Valid 2025-07-18 555774428
555774429 Rebild Kommune public Quick edit Valid 2025-07-18 555774429
555774430 Ringkøbing-Skjern Kommune private Quick edit Valid 2025-07-18 555774430
555774431 Ringkøbing-Skjern Kommune public Quick edit Valid 2025-07-18 555774431
555774432 Ringsted Kommune private Quick edit Valid 2025-07-18 555774432
555774433 Ringsted Kommune public Quick edit Valid 2025-07-18 555774433
555774434 Roskilde Kommune private Quick edit Valid 2025-07-18 555774434
555774435 Roskilde Kommune public Quick edit Valid 2025-07-18 555774435
555774436 Rudersdal Kommune private Quick edit Valid 2025-07-18 555774436
555774437 Rudersdal Kommune public Quick edit Valid 2025-07-18 555774437
555774438 Rødovre Kommune private Quick edit Valid 2025-07-18 555774438
555774439 Rødovre Kommune public Quick edit Valid 2025-07-18 555774439
555774440 Samsø Kommune private Quick edit Valid 2025-07-18 555774440
555774441 Samsø Kommune public Quick edit Valid 2025-07-18 555774441
555774442 Silkeborg Kommune private Quick edit Valid 2025-07-18 555774442
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?