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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 4,021 to 4,040.First198199200201202203204205Last
Id Label Status Status Modified Notation
573256 Šárovcova Lhota Quick edit Valid 2013-05-30 573256
573264 Osek Quick edit Valid 2013-05-30 573264
573272 Ostroměř Quick edit Valid 2013-05-30 573272
573281 Ostružno Quick edit Valid 2013-05-30 573281
573299 Pecka Quick edit Valid 2013-05-30 573299
573302 Svatojanský Újezd Quick edit Valid 2013-05-30 573302
573311 Podhorní Újezd a Vojice Quick edit Valid 2013-05-30 573311
573329 Podhradí Quick edit Valid 2013-05-30 573329
573337 Dřevěnice Quick edit Valid 2013-05-30 573337
573345 Podůlší Quick edit Valid 2013-05-30 573345
573353 Bukvice Quick edit Valid 2013-05-30 573353
573361 Soběraz Quick edit Valid 2013-05-30 573361
573370 Radim Quick edit Valid 2013-05-30 573370
573388 Litoboř Quick edit Valid 2013-05-30 573388
573400 Loučky Quick edit Valid 2013-05-30 573400
573418 Martinice v Krkonoších Quick edit Valid 2013-05-30 573418
573426 Anenská Studánka Quick edit Valid 2013-05-30 573426
573434 Lhota Quick edit Valid 2013-05-30 573434
573442 Samšina Quick edit Valid 2013-05-30 573442
573451 Sběř Quick edit Valid 2013-05-30 573451
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?