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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

1,344 concepts found, displaying 901 to 920.First4243444546474849Last
Id Label Status Status Modified Notation
095725512 095725512 Quick edit Valid 2013-06-05 095725512
095725514 095725514 Quick edit Valid 2013-06-05 095725514
095725539 095725539 Quick edit Valid 2013-06-05 095725539
095729444 095729444 Quick edit Valid 2013-06-05 095729444
095735517 095735517 Quick edit Valid 2013-06-05 095735517
095735540 095735540 Quick edit Valid 2013-06-05 095735540
095745527 095745527 Quick edit Valid 2013-06-05 095745527
095745528 095745528 Quick edit Valid 2013-06-05 095745528
095745529 095745529 Quick edit Valid 2013-06-05 095745529
095749444 095749444 Quick edit Valid 2013-06-05 095749444
095755518 095755518 Quick edit Valid 2013-06-05 095755518
095755519 095755519 Quick edit Valid 2013-06-05 095755519
095755520 095755520 Quick edit Valid 2013-06-05 095755520
095755521 095755521 Quick edit Valid 2013-06-05 095755521
095755522 095755522 Quick edit Valid 2013-06-05 095755522
095755524 095755524 Quick edit Valid 2013-06-05 095755524
095755525 095755525 Quick edit Valid 2013-06-05 095755525
095759444 095759444 Quick edit Valid 2013-06-05 095759444
095769444 095769444 Quick edit Valid 2013-06-05 095769444
095775532 095775532 Quick edit Valid 2013-06-05 095775532
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?