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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 4,961 to 4,980.First245246247248249250251252Last
Id Label Status Status Modified Notation
78327 Tsegrilovtsi Quick edit Valid 2013-05-30 78327
78330 Tselina Quick edit Valid 2013-05-30 78330
78344 Tsenino Quick edit Valid 2013-05-30 78344
78358 Tsenovich Quick edit Valid 2013-05-30 78358
78361 Tsenovo Quick edit Valid 2013-05-30 78361
78375 Tsenovo Quick edit Valid 2013-05-30 78375
78389 Tseperanite Quick edit Valid 2013-05-30 78389
78392 Tseretelevo Quick edit Valid 2013-05-30 78392
78402 Tseretsel Quick edit Valid 2013-05-30 78402
78416 Tserkovski Quick edit Valid 2013-05-30 78416
78428 Tserova koria Quick edit Valid 2013-05-30 78428
78433 Tserovets Quick edit Valid 2013-05-30 78433
78447 Tserovitsa Quick edit Valid 2013-05-30 78447
78450 Tserovishte Quick edit Valid 2013-05-30 78450
78464 Tserovo Quick edit Valid 2013-05-30 78464
78478 Tserovo Quick edit Valid 2013-05-30 78478
78481 Tserovo Quick edit Valid 2013-05-30 78481
78495 Tsiklovo Quick edit Valid 2013-05-30 78495
78505 Tsirka Quick edit Valid 2013-05-30 78505
78519 Tsonevo Quick edit Valid 2013-05-30 78519
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?