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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 4,741 to 4,760.First234235236237238239240241Last
Id Label Status Status Modified Notation
582174 Osiky Quick edit Valid 2013-05-30 582174
582182 Ostrov u Macochy Quick edit Valid 2013-05-30 582182
582191 Pamětice Quick edit Valid 2013-05-30 582191
582204 Petrov Quick edit Valid 2013-05-30 582204
582212 Petrovice Quick edit Valid 2013-05-30 582212
582221 Prostřední Poříčí Quick edit Valid 2013-05-30 582221
582239 Rájec-Jestřebí Quick edit Valid 2013-05-30 582239
582247 Ráječko Quick edit Valid 2013-05-30 582247
582255 Rašov Quick edit Valid 2013-05-30 582255
582263 Rohozec Quick edit Valid 2013-05-30 582263
582271 Rozseč nad Kunštátem Quick edit Valid 2013-05-30 582271
582280 Rozsíčka Quick edit Valid 2013-05-30 582280
582298 Rudice Quick edit Valid 2013-05-30 582298
582310 Sebranice Quick edit Valid 2013-05-30 582310
582328 Senetářov Quick edit Valid 2013-05-30 582328
582336 Skalice nad Svitavou Quick edit Valid 2013-05-30 582336
582344 Skrchov Quick edit Valid 2013-05-30 582344
582352 Sloup Quick edit Valid 2013-05-30 582352
582379 Strhaře Quick edit Valid 2013-05-30 582379
582395 Sudice Quick edit Valid 2013-05-30 582395
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?