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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 481 to 500.First2122232425262728Last
Id Label Status Status Modified Notation
06238 Brezhani Quick edit Valid 2013-05-30 06238
06241 Brezhnitsite Quick edit Valid 2013-05-30 06241
06255 Breza Quick edit Valid 2013-05-30 06255
06269 Breze Quick edit Valid 2013-05-30 06269
06272 Breze Quick edit Valid 2013-05-30 06272
06286 Breznik Quick edit Valid 2013-05-30 06286
06306 Breznitsa Quick edit Valid 2013-05-30 06306
06313 Breznishki izvor Quick edit Valid 2013-05-30 06313
06327 Brezovdol Quick edit Valid 2013-05-30 06327
06344 Brezovo Quick edit Valid 2013-05-30 06344
06361 Brezovo Quick edit Valid 2013-05-30 06361
06375 Brenitsa Quick edit Valid 2013-05-30 06375
06389 Brenitsa Quick edit Valid 2013-05-30 06389
06392 Brest Quick edit Valid 2013-05-30 06392
06402 Brest Quick edit Valid 2013-05-30 06402
06416 Brestak Quick edit Valid 2013-05-30 06416
06421 Brestaka Quick edit Valid 2013-05-30 06421
06433 Breste Quick edit Valid 2013-05-30 06433
06447 Brestnik Quick edit Valid 2013-05-30 06447
06450 Brestnitsa Quick edit Valid 2013-05-30 06450
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?