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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 1,461 to 1,480.First7071727374757677Last
Id Label Status Status Modified Notation
21498 Dobrinishte Quick edit Valid 2013-05-30 21498
21508 Dobrinovo Quick edit Valid 2013-05-30 21508
21511 Dobrinovo Quick edit Valid 2013-05-30 21511
21525 Dobrintsi Quick edit Valid 2013-05-30 21525
21539 Dobrich Quick edit Valid 2013-05-30 21539
21542 Dobrich Quick edit Valid 2013-05-30 21542
21556 Dobrovnitsa Quick edit Valid 2013-05-30 21556
21565 Dobrovo Quick edit Valid 2013-05-30 21565
21587 Dobrogled Quick edit Valid 2013-05-30 21587
21590 Dobrodan Quick edit Valid 2013-05-30 21590
21600 Dobrolevo Quick edit Valid 2013-05-30 21600
21614 Dobromir Quick edit Valid 2013-05-30 21614
21628 Dobromirka Quick edit Valid 2013-05-30 21628
21631 Dobromirtsi Quick edit Valid 2013-05-30 21631
21645 Dobroplodno Quick edit Valid 2013-05-30 21645
21659 Dobroselets Quick edit Valid 2013-05-30 21659
21662 Dobroslavtsi Quick edit Valid 2013-05-30 21662
21676 Dobrostan Quick edit Valid 2013-05-30 21676
21680 Dobrotino Quick edit Valid 2013-05-30 21680
21693 Dobrotitsa Quick edit Valid 2013-05-30 21693
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?