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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 Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrowMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

174 concepts found, displaying 21 to 40.First12345678Last
Id Label Status Status Modified Notation
3401 3401 Quick edit Valid 2013-06-05 3401
3402 3402 Quick edit Valid 2013-06-05 3402
3403 3403 Quick edit Valid 2013-06-05 3403
3404 3404 Quick edit Valid 2013-06-05 3404
3405 3405 Quick edit Valid 2013-06-05 3405
3406 3406 Quick edit Valid 2013-06-05 3406
3407 3407 Quick edit Valid 2013-06-05 3407
3408 3408 Quick edit Valid 2013-06-05 3408
3501 3501 Quick edit Valid 2013-06-05 3501
3502 3502 Quick edit Valid 2013-06-05 3502
3503 3503 Quick edit Valid 2013-06-05 3503
3504 3504 Quick edit Valid 2013-06-05 3504
3505 3505 Quick edit Valid 2013-06-05 3505
3506 3506 Quick edit Valid 2013-06-05 3506
3507 3507 Quick edit Valid 2013-06-05 3507
3508 3508 Quick edit Valid 2013-06-05 3508
3509 3509 Quick edit Valid 2013-06-05 3509
3510 3510 Quick edit Valid 2013-06-05 3510
3511 3511 Quick edit Valid 2013-06-05 3511
3512 3512 Quick edit Valid 2013-06-05 3512
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?