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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 501 to 520.First2223242526272829Last
Id Label Status Status Modified Notation
06464 Brestnitsa Quick edit Valid 2013-05-30 06464
06478 Brestova Quick edit Valid 2013-05-30 06478
06481 Brestovene Quick edit Valid 2013-05-30 06481
06495 Brestovets Quick edit Valid 2013-05-30 06495
06505 Brestovitsa Quick edit Valid 2013-05-30 06505
06519 Brestovitsa Quick edit Valid 2013-05-30 06519
06522 Brestovo Quick edit Valid 2013-05-30 06522
06536 Brestovo Quick edit Valid 2013-05-30 06536
06547 Brod Quick edit Valid 2013-05-30 06547
06553 Brodilovo Quick edit Valid 2013-05-30 06553
06567 Brosh Quick edit Valid 2013-05-30 06567
06570 Brusartsi Quick edit Valid 2013-05-30 06570
06584 Brusevtsi Quick edit Valid 2013-05-30 06584
06598 Brusen Quick edit Valid 2013-05-30 06598
06608 Brusen Quick edit Valid 2013-05-30 06608
06625 Brusino Quick edit Valid 2013-05-30 06625
06639 Brusnik Quick edit Valid 2013-05-30 06639
06642 Branetsite Quick edit Valid 2013-05-30 06642
06662 Brachkovtsi Quick edit Valid 2013-05-30 06662
06673 Brashlen Quick edit Valid 2013-05-30 06673
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?