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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 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
500011 Želechovice nad Dřevnicí Quick edit Valid 2013-05-30 500011
500020 Petrov nad Desnou Quick edit Valid 2010-01-01 500020
500259 Veřovice Quick edit Valid 2013-05-30 500259
500291 Vřesina Quick edit Valid 2013-05-30 500291
500496 Olomouc Quick edit Valid 2013-05-30 500496
500526 Bělkovice-Lašťany Quick edit Valid 2013-05-30 500526
500623 Bílá Lhota Quick edit Valid 2013-05-30 500623
500801 Blatec Quick edit Valid 2013-05-30 500801
500852 Bohuňovice Quick edit Valid 2013-05-30 500852
500861 Bouzov Quick edit Valid 2013-05-30 500861
500879 Bystročice Quick edit Valid 2013-05-30 500879
501476 Dlouhá Loučka Quick edit Valid 2013-05-30 501476
501646 Dolany Quick edit Valid 2013-05-30 501646
501751 Drahanovice Quick edit Valid 2013-05-30 501751
501794 Dub nad Moravou Quick edit Valid 2013-05-30 501794
501841 Grygov Quick edit Valid 2013-05-30 501841
502146 Hlubočky Quick edit Valid 2013-05-30 502146
502235 Hněvotín Quick edit Valid 2013-05-30 502235
502405 Hnojice Quick edit Valid 2013-05-30 502405
502545 Horka nad Moravou Quick edit Valid 2013-05-30 502545
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?