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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

2,928 concepts found, displaying 741 to 760.First3435363738394041Last
Id Label Status Status Modified Notation
509086 Valaská Quick edit Valid 2013-05-30 509086
509094 Vaľkovňa Quick edit Valid 2013-05-30 509094
509124 Závadka nad Hronom Quick edit Valid 2013-05-30 509124
509132 Čadca Quick edit Valid 2013-05-30 509132
509159 Čierne Quick edit Valid 2013-05-30 509159
509167 Dlhá nad Kysucou Quick edit Valid 2013-05-30 509167
509175 Dolný Vadičov Quick edit Valid 2013-05-30 509175
509183 Dunajov Quick edit Valid 2013-05-30 509183
509205 Horný Vadičov Quick edit Valid 2013-05-30 509205
509213 Klokočov Quick edit Valid 2013-05-30 509213
509221 Klubina Quick edit Valid 2013-05-30 509221
509230 Korňa Quick edit Valid 2013-05-30 509230
509248 Krásno nad Kysucou Quick edit Valid 2013-05-30 509248
509256 Kysucké Nové Mesto Quick edit Valid 2013-05-30 509256
509264 Kysucký Lieskovec Quick edit Valid 2013-05-30 509264
509272 Lodno Quick edit Valid 2013-05-30 509272
509281 Lopušné Pažite Quick edit Valid 2013-05-30 509281
509299 Makov Quick edit Valid 2013-05-30 509299
509302 Nesluša Quick edit Valid 2013-05-30 509302
509311 Nová Bystrica Quick edit Valid 2013-05-30 509311
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?