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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

6,250 concepts found, displaying 4,261 to 4,280.First210211212213214215216217Last
Id Label Status Status Modified Notation
576174 Byzhradec Quick edit Valid 2013-05-30 576174
576182 Častolovice Quick edit Valid 2013-05-30 576182
576191 Čermná nad Orlicí Quick edit Valid 2013-05-30 576191
576204 Černíkovice Quick edit Valid 2013-05-30 576204
576212 České Meziříčí Quick edit Valid 2013-05-30 576212
576221 Čestice Quick edit Valid 2013-05-30 576221
576247 Deštné v Orlických horách Quick edit Valid 2013-05-30 576247
576263 Dobré Quick edit Valid 2013-05-30 576263
576271 Dobruška Quick edit Valid 2013-05-30 576271
576280 Dobřany Quick edit Valid 2013-05-30 576280
576301 Doudleby nad Orlicí Quick edit Valid 2013-05-30 576301
576310 Chleny Quick edit Valid 2013-05-30 576310
576328 Janov Quick edit Valid 2013-05-30 576328
576336 Javornice Quick edit Valid 2013-05-30 576336
576352 Jílovice Quick edit Valid 2013-05-30 576352
576361 Kostelec nad Orlicí Quick edit Valid 2013-05-30 576361
576387 Kostelecké Horky Quick edit Valid 2013-05-30 576387
576395 Kounov Quick edit Valid 2013-05-30 576395
576409 Králova Lhota Quick edit Valid 2013-05-30 576409
576425 Kvasiny Quick edit Valid 2013-05-30 576425
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?