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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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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
  • Step 1
  • Step 2
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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
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_STATUS Fixed values
Released
  • Step 1
  • Step 2
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  • Step 5
20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • 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 189,961 to 189,980.First9,4959,4969,4979,4989,4999,5009,5019,502Last
Id Label Status Status Modified Notation
555772452 n/a Quick edit Valid 2025-07-18 555772452
555772453 n/a Quick edit Valid 2025-07-18 555772453
555772454 n/a Quick edit Valid 2025-07-18 555772454
555772455 n/a Quick edit Valid 2025-07-18 555772455
555772456 n/a Quick edit Valid 2025-07-18 555772456
555772457 n/a Quick edit Valid 2025-07-18 555772457
555772458 n/a Quick edit Valid 2025-07-18 555772458
555772459 n/a Quick edit Valid 2025-07-18 555772459
555772460 n/a Quick edit Valid 2025-07-18 555772460
555772461 n/a Quick edit Valid 2025-07-18 555772461
555772462 n/a Quick edit Valid 2025-07-18 555772462
555772463 n/a Quick edit Valid 2025-07-18 555772463
555772464 n/a Quick edit Valid 2025-07-18 555772464
555772465 n/a Quick edit Valid 2025-07-18 555772465
555772466 n/a Quick edit Valid 2025-07-18 555772466
555772467 n/a Quick edit Valid 2025-07-18 555772467
555772468 n/a Quick edit Valid 2025-07-18 555772468
555772469 n/a Quick edit Valid 2025-07-18 555772469
555772470 n/a Quick edit Valid 2025-07-18 555772470
555772471 n/a Quick edit Valid 2025-07-18 555772471
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?