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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:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 1,661 to 1,680.First8081828384858687Last
Id Label Status Status Modified Notation
23635 Dreatin Quick edit Valid 2013-05-30 23635
23649 Dren Quick edit Valid 2013-05-30 23649
23652 Drenkovo Quick edit Valid 2013-05-30 23652
23666 Drenov Quick edit Valid 2013-05-30 23666
23672 Drenovets Quick edit Valid 2013-05-30 23672
23683 Drenovitsa Quick edit Valid 2013-05-30 23683
23697 Drenovo Quick edit Valid 2013-05-30 23697
23707 Drenovo Quick edit Valid 2013-05-30 23707
23710 Drenta Quick edit Valid 2013-05-30 23710
23724 Drentsi Quick edit Valid 2013-05-30 23724
23738 Drinovo Quick edit Valid 2013-05-30 23738
23741 Dripchevo Quick edit Valid 2013-05-30 23741
23755 Dropla Quick edit Valid 2013-05-30 23755
23769 Dropla Quick edit Valid 2013-05-30 23769
23786 Druzhba Quick edit Valid 2013-05-30 23786
23798 Druzhevo Quick edit Valid 2013-05-30 23798
23803 Druzhintsi Quick edit Valid 2013-05-30 23803
23813 Drumevo Quick edit Valid 2013-05-30 23813
23827 Drumohar Quick edit Valid 2013-05-30 23827
23830 Drumche Quick edit Valid 2013-05-30 23830
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?