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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 841 to 860.First3940414243444546Last
Id Label Status Status Modified Notation
12156 Vrani kon Quick edit Valid 2013-05-30 12156
12168 Vranilovtsi Quick edit Valid 2013-05-30 12168
12173 Vranino Quick edit Valid 2013-05-30 12173
12187 Vranintsi Quick edit Valid 2013-05-30 12187
12190 Vransko Quick edit Valid 2013-05-30 12190
12200 Vranya Quick edit Valid 2013-05-30 12200
12214 Vranyak Quick edit Valid 2013-05-30 12214
12228 Vranya stena Quick edit Valid 2013-05-30 12228
12231 Vratarite Quick edit Valid 2013-05-30 12231
12245 Vratitsa Quick edit Valid 2013-05-30 12245
12259 Vratsa Quick edit Valid 2013-05-30 12259
12262 Vrachantsi Quick edit Valid 2013-05-30 12262
12283 Vrachesh Quick edit Valid 2013-05-30 12283
12293 Vrelo Quick edit Valid 2013-05-30 12293
12303 Vresovo Quick edit Valid 2013-05-30 12303
12317 Vrav Quick edit Valid 2013-05-30 12317
12320 Vradlovtsi Quick edit Valid 2013-05-30 12320
12334 Vsemirtsi Quick edit Valid 2013-05-30 12334
12348 Vukan Quick edit Valid 2013-05-30 12348
12351 Vukovo Quick edit Valid 2013-05-30 12351
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?