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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
3801 3801 Quick edit Valid 2013-06-05 3801
3802 3802 Quick edit Valid 2013-06-05 3802
3803 3803 Quick edit Valid 2013-06-05 3803
3804 3804 Quick edit Valid 2013-06-05 3804
3805 3805 Quick edit Valid 2013-06-05 3805
3806 3806 Quick edit Valid 2013-06-05 3806
3807 3807 Quick edit Valid 2013-06-05 3807
3901 3901 Quick edit Valid 2013-06-05 3901
3902 3902 Quick edit Valid 2013-06-05 3902
3903 3903 Quick edit Valid 2013-06-05 3903
3904 3904 Quick edit Valid 2013-06-05 3904
3905 3905 Quick edit Valid 2013-06-05 3905
3906 3906 Quick edit Valid 2013-06-05 3906
3907 3907 Quick edit Valid 2013-06-05 3907
3908 3908 Quick edit Valid 2013-06-05 3908
3909 3909 Quick edit Valid 2013-06-05 3909
4001 4001 Quick edit Valid 2013-06-05 4001
4002 4002 Quick edit Valid 2013-06-05 4002
4003 4003 Quick edit Valid 2013-06-05 4003
4004 4004 Quick edit Valid 2013-06-05 4004
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?