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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 5,941 to 5,960.First294295296297298299300301Last
Id Label Status Status Modified Notation
596191 Níhov Quick edit Valid 2013-05-30 596191
596205 Nížkov Quick edit Valid 2013-05-30 596205
596213 Nová Ves Quick edit Valid 2013-05-30 596213
596221 Nová Ves u Nového Města na Moravě Quick edit Valid 2013-05-30 596221
596230 Nové Město na Moravě Quick edit Valid 2013-05-30 596230
596248 Nové Sady Quick edit Valid 2013-05-30 596248
596256 Nové Veselí Quick edit Valid 2013-05-30 596256
596264 Nový Jimramov Quick edit Valid 2013-05-30 596264
596272 Nyklovice Quick edit Valid 2013-05-30 596272
596281 Obyčtov Quick edit Valid 2013-05-30 596281
596302 Olší Quick edit Valid 2013-05-30 596302
596329 Ořechov Quick edit Valid 2013-05-30 596329
596337 Oslavice Quick edit Valid 2013-05-30 596337
596345 Osová Bítýška Quick edit Valid 2013-05-30 596345
596353 Osové Quick edit Valid 2013-05-30 596353
596361 Ostrov nad Oslavou Quick edit Valid 2013-05-30 596361
596370 Otín Quick edit Valid 2013-05-30 596370
596388 Pavlínov Quick edit Valid 2013-05-30 596388
596396 Pavlov Quick edit Valid 2013-05-30 596396
596400 Pernštejnské Jestřabí Quick edit Valid 2013-05-30 596400
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?