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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 190,041 to 190,060.First9,4999,5009,5019,5029,5039,5049,5059,506Last
Id Label Status Status Modified Notation
555772532 n/a Quick edit Valid 2025-07-18 555772532
555772533 n/a Quick edit Valid 2025-07-18 555772533
555772534 n/a Quick edit Valid 2025-07-18 555772534
555772535 n/a Quick edit Valid 2025-07-18 555772535
555772536 n/a Quick edit Valid 2025-07-18 555772536
555772537 n/a Quick edit Valid 2025-07-18 555772537
555772538 n/a Quick edit Valid 2025-07-18 555772538
555772539 n/a Quick edit Valid 2025-07-18 555772539
555772540 n/a Quick edit Valid 2025-07-18 555772540
555772541 n/a Quick edit Valid 2025-07-18 555772541
555772542 n/a Quick edit Valid 2025-07-18 555772542
555772543 n/a Quick edit Valid 2025-07-18 555772543
555772544 n/a Quick edit Valid 2025-07-18 555772544
555772545 n/a Quick edit Valid 2025-07-18 555772545
555772546 n/a Quick edit Valid 2025-07-18 555772546
555772547 n/a Quick edit Valid 2025-07-18 555772547
555772548 n/a Quick edit Valid 2025-07-18 555772548
555772549 n/a Quick edit Valid 2025-07-18 555772549
555772550 n/a Quick edit Valid 2025-07-18 555772550
555772551 n/a Quick edit Valid 2025-07-18 555772551
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?