You are here:
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 461 to 480.First2021222324252627Last
Id Label Status Status Modified Notation
06029 Boyantsi Quick edit Valid 2013-05-30 06029
06032 Bradvari Quick edit Valid 2013-05-30 06032
06046 Braknitsa Quick edit Valid 2013-05-30 06046
06050 Brakyovtsi Quick edit Valid 2013-05-30 06050
06077 Branipole Quick edit Valid 2013-05-30 06077
06080 Branitsa Quick edit Valid 2013-05-30 06080
06094 Branichevo Quick edit Valid 2013-05-30 06094
06104 Branishte Quick edit Valid 2013-05-30 06104
06118 Brankovtsi Quick edit Valid 2013-05-30 06118
06121 Brankovtsi Quick edit Valid 2013-05-30 06121
06135 Bratan Quick edit Valid 2013-05-30 06135
06149 Bratanitsa Quick edit Valid 2013-05-30 06149
06152 Bratovo Quick edit Valid 2013-05-30 06152
06166 Bratovo Quick edit Valid 2013-05-30 06166
06175 Bratushkovo Quick edit Valid 2013-05-30 06175
06183 Bratya Daskalovi Quick edit Valid 2013-05-30 06183
06197 Bratya Kunchevi Quick edit Valid 2013-05-30 06197
06207 Bratsigovo Quick edit Valid 2013-05-30 06207
06210 Bregare Quick edit Valid 2013-05-30 06210
06224 Bregovo Quick edit Valid 2013-05-30 06224
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?