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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
  • Step 2
  • 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 190,261 to 190,280.First9,5109,5119,5129,5139,5149,5159,5169,517Last
Id Label Status Status Modified Notation
555772752 n/a Quick edit Valid 2025-07-18 555772752
555772753 n/a Quick edit Valid 2025-07-18 555772753
555772754 n/a Quick edit Valid 2025-07-18 555772754
555772755 n/a Quick edit Valid 2025-07-18 555772755
555772756 n/a Quick edit Valid 2025-07-18 555772756
555772757 n/a Quick edit Valid 2025-07-18 555772757
555772758 n/a Quick edit Valid 2025-07-18 555772758
555772759 n/a Quick edit Valid 2025-07-18 555772759
555772760 n/a Quick edit Valid 2025-07-18 555772760
555772761 n/a Quick edit Valid 2025-07-18 555772761
555772762 n/a Quick edit Valid 2025-07-18 555772762
555772763 n/a Quick edit Valid 2025-07-18 555772763
555772764 n/a Quick edit Valid 2025-07-18 555772764
555772765 n/a Quick edit Valid 2025-07-18 555772765
555772766 n/a Quick edit Valid 2025-07-18 555772766
555772767 n/a Quick edit Valid 2025-07-18 555772767
555772768 n/a Quick edit Valid 2025-07-18 555772768
555772769 n/a Quick edit Valid 2025-07-18 555772769
555772770 n/a Quick edit Valid 2025-07-18 555772770
555772771 n/a Quick edit Valid 2025-07-18 555772771
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?