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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 641 to 660.First2930313233343536Last
Id Label Status Status Modified Notation
07942 Bregovo Quick edit Valid 2013-05-30 07942
07960 Belitsa Quick edit Valid 2013-05-30 07960
10015 Vazovo Quick edit Valid 2013-05-30 10015
10029 Vakarel Quick edit Valid 2013-05-30 10029
10032 Vaklino Quick edit Valid 2013-05-30 10032
10046 Vaklinovo Quick edit Valid 2013-05-30 10046
10050 Vaksevo Quick edit Valid 2013-05-30 10050
10063 Valeto Quick edit Valid 2013-05-30 10063
10080 Varana Quick edit Valid 2013-05-30 10080
10094 Varvara Quick edit Valid 2013-05-30 10094
10104 Varvara Quick edit Valid 2013-05-30 10104
10118 Vardim Quick edit Valid 2013-05-30 10118
10121 Vardun Quick edit Valid 2013-05-30 10121
10135 Varna Quick edit Valid 2013-05-30 10135
10149 Varnentsi Quick edit Valid 2013-05-30 10149
10152 Varnik Quick edit Valid 2013-05-30 10152
10166 Varovnik Quick edit Valid 2013-05-30 10166
10176 Vasil Drumev Quick edit Valid 2013-05-30 10176
10183 Vasilevo Quick edit Valid 2013-05-30 10183
10197 Vasilkovska mahala Quick edit Valid 2013-05-30 10197
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?