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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 1,681 to 1,700.First8182838485868788Last
Id Label Status Status Modified Notation
545252 Zubří Quick edit Valid 2013-05-30 545252
545261 Vrábče Quick edit Valid 2013-05-30 545261
545279 Domašov nad Bystřicí Quick edit Valid 2013-05-30 545279
545287 Všemyslice Quick edit Valid 2013-05-30 545287
545295 Skalička Quick edit Valid 2013-05-30 545295
545309 Kožichovice Quick edit Valid 2013-05-30 545309
545317 Záboří Quick edit Valid 2013-05-30 545317
545325 Velký Karlov Quick edit Valid 2013-05-30 545325
545341 Zliv Quick edit Valid 2013-05-30 545341
545368 Žabovřesky Quick edit Valid 2013-05-30 545368
545376 Žár Quick edit Valid 2013-05-30 545376
545384 Žimutice Quick edit Valid 2013-05-30 545384
545392 Český Krumlov Quick edit Valid 2013-05-30 545392
545406 Benešov nad Černou Quick edit Valid 2013-05-30 545406
545414 Besednice Quick edit Valid 2013-05-30 545414
545422 Boletice Quick edit Valid 2013-05-30 545422
545431 Brloh Quick edit Valid 2013-05-30 545431
545449 Bujanov Quick edit Valid 2013-05-30 545449
545457 Černá v Pošumaví Quick edit Valid 2013-05-30 545457
545465 Dolní Dvořiště Quick edit Valid 2013-05-30 545465
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?