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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 4,681 to 4,700.First231232233234235236237238Last
Id Label Status Status Modified Notation
581381 Brťov-Jeneč Quick edit Valid 2013-05-30 581381
581402 Brumov Quick edit Valid 2013-05-30 581402
581429 Březina (dříve okres Blansko) Quick edit Valid 2013-05-30 581429
581437 Bukovice Quick edit Valid 2013-05-30 581437
581445 Bukovina Quick edit Valid 2013-05-30 581445
581453 Bukovinka Quick edit Valid 2013-05-30 581453
581461 Býkovice Quick edit Valid 2013-05-30 581461
581470 Cetkovice Quick edit Valid 2013-05-30 581470
581496 Černá Hora Quick edit Valid 2013-05-30 581496
581500 Černovice Quick edit Valid 2013-05-30 581500
581518 Deštná Quick edit Valid 2013-05-30 581518
581526 Dlouhá Lhota Quick edit Valid 2013-05-30 581526
581534 Chrudichromy Quick edit Valid 2013-05-30 581534
581542 Doubravice nad Svitavou Quick edit Valid 2013-05-30 581542
581551 Drnovice Quick edit Valid 2013-05-30 581551
581569 Habrůvka Quick edit Valid 2013-05-30 581569
581577 Hluboké Dvory Quick edit Valid 2013-05-30 581577
581593 Hodonín Quick edit Valid 2013-05-30 581593
581615 Holštejn Quick edit Valid 2013-05-30 581615
581631 Horní Poříčí Quick edit Valid 2013-05-30 581631
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?