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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 1,381 to 1,400.First6667686970717273Last
Id Label Status Status Modified Notation
517135 Pitelová Quick edit Valid 2013-05-30 517135
517143 Podhorie Quick edit Valid 2013-05-30 517143
517160 Počúvadlo Quick edit Valid 2013-05-30 517160
517178 Prenčov Quick edit Valid 2013-05-30 517178
517186 Prestavlky Quick edit Valid 2013-05-30 517186
517194 Prochot Quick edit Valid 2013-05-30 517194
517216 Repište Quick edit Valid 2013-05-30 517216
517232 Rudno nad Hronom Quick edit Valid 2013-05-30 517232
517241 Sklené Teplice Quick edit Valid 2013-05-30 517241
517259 Slaská Quick edit Valid 2013-05-30 517259
517267 Stará Kremnička Quick edit Valid 2013-05-30 517267
517283 Štiavnické Bane Quick edit Valid 2013-05-30 517283
517291 Tekovská Breznica Quick edit Valid 2013-05-30 517291
517305 Tekovské Nemce Quick edit Valid 2013-05-30 517305
517313 Trnavá Hora Quick edit Valid 2013-05-30 517313
517330 Veľká Lehota Quick edit Valid 2013-05-30 517330
517348 Veľké Pole Quick edit Valid 2013-05-30 517348
517356 Voznica Quick edit Valid 2013-05-30 517356
517364 Vyhne Quick edit Valid 2013-05-30 517364
517372 Vysoká Quick edit Valid 2013-05-30 517372
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?