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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 1,781 to 1,800.First8687888990919293Last
Id Label Status Status Modified Notation
24966 Devintsi Quick edit Valid 2013-05-30 24966
27019 Evlogievo Quick edit Valid 2013-05-30 27019
27022 Evrenozovo Quick edit Valid 2013-05-30 27022
27036 Egrek Quick edit Valid 2013-05-30 27036
27043 Egalnitsa Quick edit Valid 2013-05-30 27043
27067 Edinakovtsi Quick edit Valid 2013-05-30 27067
27070 Edrevo Quick edit Valid 2013-05-30 27070
27084 Ezdimirtsi Quick edit Valid 2013-05-30 27084
27098 Ezerets Quick edit Valid 2013-05-30 27098
27108 Ezerets Quick edit Valid 2013-05-30 27108
27111 Ezero Quick edit Valid 2013-05-30 27111
27125 Ezerovo Quick edit Valid 2013-05-30 27125
27139 Ezerovo Quick edit Valid 2013-05-30 27139
27156 Ezerche Quick edit Valid 2013-05-30 27156
27169 Ekzarh Antimovo Quick edit Valid 2013-05-30 27169
27173 Ekzarh Yosif Quick edit Valid 2013-05-30 27173
27190 Elena Quick edit Valid 2013-05-30 27190
27200 Elena Quick edit Valid 2013-05-30 27200
27214 Elenino Quick edit Valid 2013-05-30 27214
27228 Elenov dol Quick edit Valid 2013-05-30 27228
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?