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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 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
10207 Vasil Levski Quick edit Valid 2013-05-30 10207
10210 Vasil Levski Quick edit Valid 2013-05-30 10210
10224 Vasil Levski Quick edit Valid 2013-05-30 10224
10238 Vasil Levski Quick edit Valid 2013-05-30 10238
10255 Vasilovtsi Quick edit Valid 2013-05-30 10255
10269 Vasilovtsi Quick edit Valid 2013-05-30 10269
10272 Vasilyovo Quick edit Valid 2013-05-30 10272
10286 Vaskovo Quick edit Valid 2013-05-30 10286
10291 Vedrare Quick edit Valid 2013-05-30 10291
10307 Vedrina Quick edit Valid 2013-05-30 10307
10313 Vedrovo Quick edit Valid 2013-05-30 10313
10327 Vezenkovo Quick edit Valid 2013-05-30 10327
10330 Vekilski Quick edit Valid 2013-05-30 10330
10344 Velentsi Quick edit Valid 2013-05-30 10344
10358 Veleshani Quick edit Valid 2013-05-30 10358
10361 Velika Quick edit Valid 2013-05-30 10361
10375 Velikan Quick edit Valid 2013-05-30 10375
10389 Velikdenche Quick edit Valid 2013-05-30 10389
10392 Velikdenche Quick edit Valid 2013-05-30 10392
10416 Velikovo Quick edit Valid 2013-05-30 10416
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?