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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 190,061 to 190,080.First9,5009,5019,5029,5039,5049,5059,5069,507Last
Id Label Status Status Modified Notation
555772552 n/a Quick edit Valid 2025-07-18 555772552
555772553 n/a Quick edit Valid 2025-07-18 555772553
555772554 n/a Quick edit Valid 2025-07-18 555772554
555772555 n/a Quick edit Valid 2025-07-18 555772555
555772556 n/a Quick edit Valid 2025-07-18 555772556
555772557 n/a Quick edit Valid 2025-07-18 555772557
555772558 n/a Quick edit Valid 2025-07-18 555772558
555772559 n/a Quick edit Valid 2025-07-18 555772559
555772560 n/a Quick edit Valid 2025-07-18 555772560
555772561 n/a Quick edit Valid 2025-07-18 555772561
555772562 n/a Quick edit Valid 2025-07-18 555772562
555772563 n/a Quick edit Valid 2025-07-18 555772563
555772564 n/a Quick edit Valid 2025-07-18 555772564
555772565 n/a Quick edit Valid 2025-07-18 555772565
555772566 n/a Quick edit Valid 2025-07-18 555772566
555772567 n/a Quick edit Valid 2025-07-18 555772567
555772568 n/a Quick edit Valid 2025-07-18 555772568
555772569 n/a Quick edit Valid 2025-07-18 555772569
555772570 n/a Quick edit Valid 2025-07-18 555772570
555772571 n/a Quick edit Valid 2025-07-18 555772571
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?