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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
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19 Aug 2020
sitecodes_DATE_ALLOCATED Quantitative
Released
  • Step 1
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  • Step 4
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20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
  • Step 1
  • Step 2
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
  • Step 1
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  • 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
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  • 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 189,901 to 189,920.First9,4929,4939,4949,4959,4969,4979,4989,499Last
Id Label Status Status Modified Notation
555772392 n/a Quick edit Valid 2025-07-18 555772392
555772393 n/a Quick edit Valid 2025-07-18 555772393
555772394 n/a Quick edit Valid 2025-07-18 555772394
555772395 n/a Quick edit Valid 2025-07-18 555772395
555772396 n/a Quick edit Valid 2025-07-18 555772396
555772397 n/a Quick edit Valid 2025-07-18 555772397
555772398 n/a Quick edit Valid 2025-07-18 555772398
555772399 n/a Quick edit Valid 2025-07-18 555772399
555772400 n/a Quick edit Valid 2025-07-18 555772400
555772401 n/a Quick edit Valid 2025-07-18 555772401
555772402 n/a Quick edit Valid 2025-07-18 555772402
555772403 n/a Quick edit Valid 2025-07-18 555772403
555772404 n/a Quick edit Valid 2025-07-18 555772404
555772405 n/a Quick edit Valid 2025-07-18 555772405
555772406 n/a Quick edit Valid 2025-07-18 555772406
555772407 n/a Quick edit Valid 2025-07-18 555772407
555772408 n/a Quick edit Valid 2025-07-18 555772408
555772409 n/a Quick edit Valid 2025-07-18 555772409
555772410 n/a Quick edit Valid 2025-07-18 555772410
555772411 n/a Quick edit Valid 2025-07-18 555772411
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?