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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
  • Step 1
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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 190,181 to 190,200.First9,5069,5079,5089,5099,5109,5119,5129,513Last
Id Label Status Status Modified Notation
555772672 n/a Quick edit Valid 2025-07-18 555772672
555772673 n/a Quick edit Valid 2025-07-18 555772673
555772674 n/a Quick edit Valid 2025-07-18 555772674
555772675 n/a Quick edit Valid 2025-07-18 555772675
555772676 n/a Quick edit Valid 2025-07-18 555772676
555772677 n/a Quick edit Valid 2025-07-18 555772677
555772678 n/a Quick edit Valid 2025-07-18 555772678
555772679 n/a Quick edit Valid 2025-07-18 555772679
555772680 n/a Quick edit Valid 2025-07-18 555772680
555772681 n/a Quick edit Valid 2025-07-18 555772681
555772682 n/a Quick edit Valid 2025-07-18 555772682
555772683 n/a Quick edit Valid 2025-07-18 555772683
555772684 n/a Quick edit Valid 2025-07-18 555772684
555772685 n/a Quick edit Valid 2025-07-18 555772685
555772686 n/a Quick edit Valid 2025-07-18 555772686
555772687 n/a Quick edit Valid 2025-07-18 555772687
555772688 n/a Quick edit Valid 2025-07-18 555772688
555772689 n/a Quick edit Valid 2025-07-18 555772689
555772690 n/a Quick edit Valid 2025-07-18 555772690
555772691 n/a Quick edit Valid 2025-07-18 555772691
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?