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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 2,721 to 2,740.First133134135136137138139140Last
Id Label Status Status Modified Notation
556220 Ardanovce Quick edit Valid 2013-05-30 556220
556238 Svrbice Quick edit Valid 2013-05-30 556238
556246 Krásno Quick edit Valid 2013-05-30 556246
556262 Dvorany nad Nitrou Quick edit Valid 2013-05-30 556262
556271 Turčianky Quick edit Valid 2013-05-30 556271
556289 Otrhánky Quick edit Valid 2013-05-30 556289
556297 Čeľadince Quick edit Valid 2013-05-30 556297
556327 Solčianky Quick edit Valid 2013-05-30 556327
556351 Horné Chlebany Quick edit Valid 2013-05-30 556351
556360 Libichava Quick edit Valid 2013-05-30 556360
556408 Chudá Lehota Quick edit Valid 2013-05-30 556408
556416 Ješkova Ves Quick edit Valid 2013-05-30 556416
556424 Haluzice Quick edit Valid 2013-05-30 556424
556441 Zemianske Podhradie Quick edit Valid 2013-05-30 556441
556459 Nová Ves nad Váhom Quick edit Valid 2013-05-30 556459
556475 Zamarovce Quick edit Valid 2013-05-30 556475
556483 Križovany nad Dudváhom Quick edit Valid 2013-05-30 556483
556491 Opoj Quick edit Valid 2013-05-30 556491
556513 Vlčkovce Quick edit Valid 2013-05-30 556513
556521 Dolné Zelenice Quick edit Valid 2013-05-30 556521
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?