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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 4,881 to 4,900.First241242243244245246247248Last
Id Label Status Status Modified Notation
77061 Hadzhievo Quick edit Valid 2013-05-30 77061
77089 Hadzhiite Quick edit Valid 2013-05-30 77089
77092 Hadzhiysko Quick edit Valid 2013-05-30 77092
77102 Hayredin Quick edit Valid 2013-05-30 77102
77116 Brezen Quick edit Valid 2013-05-30 77116
77120 Halvadzhiysko Quick edit Valid 2013-05-30 77120
77133 Halovski kolibi Quick edit Valid 2013-05-30 77133
77150 Hanovo Quick edit Valid 2013-05-30 77150
77164 Haracherite Quick edit Valid 2013-05-30 77164
77178 Harvalovtsi Quick edit Valid 2013-05-30 77178
77181 Harmanli Quick edit Valid 2013-05-30 77181
77195 Haskovo Quick edit Valid 2013-05-30 77195
77205 Hasovitsa Quick edit Valid 2013-05-30 77205
77219 Hvoyna Quick edit Valid 2013-05-30 77219
77222 Hvostyane Quick edit Valid 2013-05-30 77222
77236 Hvarchil Quick edit Valid 2013-05-30 77236
77246 Herakovo Quick edit Valid 2013-05-30 77246
77253 Hirevo Quick edit Valid 2013-05-30 77253
77267 Hisar Quick edit Valid 2013-05-30 77267
77270 Hisar Quick edit Valid 2013-05-30 77270
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?