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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 190,101 to 190,120.First9,5029,5039,5049,5059,5069,5079,5089,509Last
Id Label Status Status Modified Notation
555772592 n/a Quick edit Valid 2025-07-18 555772592
555772593 n/a Quick edit Valid 2025-07-18 555772593
555772594 n/a Quick edit Valid 2025-07-18 555772594
555772595 n/a Quick edit Valid 2025-07-18 555772595
555772596 n/a Quick edit Valid 2025-07-18 555772596
555772597 n/a Quick edit Valid 2025-07-18 555772597
555772598 n/a Quick edit Valid 2025-07-18 555772598
555772599 n/a Quick edit Valid 2025-07-18 555772599
555772600 n/a Quick edit Valid 2025-07-18 555772600
555772601 n/a Quick edit Valid 2025-07-18 555772601
555772602 n/a Quick edit Valid 2025-07-18 555772602
555772603 n/a Quick edit Valid 2025-07-18 555772603
555772604 n/a Quick edit Valid 2025-07-18 555772604
555772605 n/a Quick edit Valid 2025-07-18 555772605
555772606 n/a Quick edit Valid 2025-07-18 555772606
555772607 n/a Quick edit Valid 2025-07-18 555772607
555772608 n/a Quick edit Valid 2025-07-18 555772608
555772609 n/a Quick edit Valid 2025-07-18 555772609
555772610 n/a Quick edit Valid 2025-07-18 555772610
555772611 n/a Quick edit Valid 2025-07-18 555772611
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?