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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 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • 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
  • Step 3
  • Step 4
  • 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 189,981 to 190,000.First9,4969,4979,4989,4999,5009,5019,5029,503Last
Id Label Status Status Modified Notation
555772472 n/a Quick edit Valid 2025-07-18 555772472
555772473 n/a Quick edit Valid 2025-07-18 555772473
555772474 n/a Quick edit Valid 2025-07-18 555772474
555772475 n/a Quick edit Valid 2025-07-18 555772475
555772476 n/a Quick edit Valid 2025-07-18 555772476
555772477 n/a Quick edit Valid 2025-07-18 555772477
555772478 n/a Quick edit Valid 2025-07-18 555772478
555772479 n/a Quick edit Valid 2025-07-18 555772479
555772480 n/a Quick edit Valid 2025-07-18 555772480
555772481 n/a Quick edit Valid 2025-07-18 555772481
555772482 n/a Quick edit Valid 2025-07-18 555772482
555772483 n/a Quick edit Valid 2025-07-18 555772483
555772484 n/a Quick edit Valid 2025-07-18 555772484
555772485 n/a Quick edit Valid 2025-07-18 555772485
555772486 n/a Quick edit Valid 2025-07-18 555772486
555772487 n/a Quick edit Valid 2025-07-18 555772487
555772488 n/a Quick edit Valid 2025-07-18 555772488
555772489 n/a Quick edit Valid 2025-07-18 555772489
555772490 n/a Quick edit Valid 2025-07-18 555772490
555772491 n/a Quick edit Valid 2025-07-18 555772491
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?