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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 561 to 580.First2526272829303132Last
Id Label Status Status Modified Notation
07106 Busmantsi Quick edit Valid 2013-05-30 07106
07116 Butan Quick edit Valid 2013-05-30 07116
07123 Butovo Quick edit Valid 2013-05-30 07123
07137 Butrointsi Quick edit Valid 2013-05-30 07137
07140 Buhovo Quick edit Valid 2013-05-30 07140
07154 Buhovtsi Quick edit Valid 2013-05-30 07154
07168 Buchino Quick edit Valid 2013-05-30 07168
07171 Buchin prohod Quick edit Valid 2013-05-30 07171
07185 Buchukovtsi Quick edit Valid 2013-05-30 07185
07199 Badeshte Quick edit Valid 2013-05-30 07199
07209 Bazovets Quick edit Valid 2013-05-30 07209
07212 Bazovets Quick edit Valid 2013-05-30 07212
07226 Bazovitsa Quick edit Valid 2013-05-30 07226
07231 Bazan Quick edit Valid 2009-10-31 07231
07243 Balgaranovo Quick edit Valid 2013-05-30 07243
07257 Balgarevo Quick edit Valid 2013-05-30 07257
07260 Balgarene Quick edit Valid 2013-05-30 07260
07274 Balgarene Quick edit Valid 2013-05-30 07274
07288 Balgarene Quick edit Valid 2013-05-30 07288
07291 Balgari Quick edit Valid 2013-05-30 07291
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?