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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 3,741 to 3,760.First184185186187188189190191Last
Id Label Status Status Modified Notation
570303 Lodín Quick edit Valid 2013-05-30 570303
570311 Lochenice Quick edit Valid 2013-05-30 570311
570320 Lovčice Quick edit Valid 2013-05-30 570320
570338 Zborov Quick edit Valid 2013-05-30 570338
570346 Janová Quick edit Valid 2013-05-30 570346
570354 Lužany Quick edit Valid 2013-05-30 570354
570362 Lužec nad Cidlinou Quick edit Valid 2013-05-30 570362
570371 Ústí Quick edit Valid 2013-05-30 570371
570397 Měník Quick edit Valid 2013-05-30 570397
570401 Mlékosrby Quick edit Valid 2013-05-30 570401
570419 Mokrovousy Quick edit Valid 2013-05-30 570419
570427 Myštěves Quick edit Valid 2013-05-30 570427
570435 Mžany Quick edit Valid 2013-05-30 570435
570443 Neděliště Quick edit Valid 2013-05-30 570443
570451 Nechanice Quick edit Valid 2013-05-30 570451
570478 Nepolisy Quick edit Valid 2013-05-30 570478
570494 Nové Město Quick edit Valid 2013-05-30 570494
570508 Nový Bydžov Quick edit Valid 2013-05-30 570508
570516 Ohnišťany Quick edit Valid 2013-05-30 570516
570524 Olešnice Quick edit Valid 2013-05-30 570524
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?