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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 190,081 to 190,100.First9,5019,5029,5039,5049,5059,5069,5079,508Last
Id Label Status Status Modified Notation
555772572 n/a Quick edit Valid 2025-07-18 555772572
555772573 n/a Quick edit Valid 2025-07-18 555772573
555772574 n/a Quick edit Valid 2025-07-18 555772574
555772575 n/a Quick edit Valid 2025-07-18 555772575
555772576 n/a Quick edit Valid 2025-07-18 555772576
555772577 n/a Quick edit Valid 2025-07-18 555772577
555772578 n/a Quick edit Valid 2025-07-18 555772578
555772579 n/a Quick edit Valid 2025-07-18 555772579
555772580 n/a Quick edit Valid 2025-07-18 555772580
555772581 n/a Quick edit Valid 2025-07-18 555772581
555772582 n/a Quick edit Valid 2025-07-18 555772582
555772583 n/a Quick edit Valid 2025-07-18 555772583
555772584 n/a Quick edit Valid 2025-07-18 555772584
555772585 n/a Quick edit Valid 2025-07-18 555772585
555772586 n/a Quick edit Valid 2025-07-18 555772586
555772587 n/a Quick edit Valid 2025-07-18 555772587
555772588 n/a Quick edit Valid 2025-07-18 555772588
555772589 n/a Quick edit Valid 2025-07-18 555772589
555772590 n/a Quick edit Valid 2025-07-18 555772590
555772591 n/a Quick edit Valid 2025-07-18 555772591
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?