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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 2,281 to 2,300.First111112113114115116117118Last
Id Label Status Status Modified Notation
552275 Dráchov Quick edit Valid 2013-05-30 552275
552283 Dražice Quick edit Valid 2013-05-30 552283
552291 Dražičky Quick edit Valid 2013-05-30 552291
552305 Lipina Quick edit Valid 2013-05-30 552305
552313 Domašov u Šternberka Quick edit Valid 2013-05-30 552313
552321 Hlavatce Quick edit Valid 2013-05-30 552321
552330 Hlásnice Quick edit Valid 2013-05-30 552330
552348 Mladějovice Quick edit Valid 2013-05-30 552348
552356 Babice Quick edit Valid 2013-05-30 552356
552364 Ústín Quick edit Valid 2013-05-30 552364
552372 Medlov Quick edit Valid 2013-05-30 552372
552381 Nová Hradečná Quick edit Valid 2013-05-30 552381
552399 Želechovice Quick edit Valid 2013-05-30 552399
552402 Bukovany Quick edit Valid 2013-05-30 552402
552411 Přáslavice Quick edit Valid 2013-05-30 552411
552429 Svésedlice Quick edit Valid 2013-05-30 552429
552437 Krčmaň Quick edit Valid 2013-05-30 552437
552445 Daskabát Quick edit Valid 2013-05-30 552445
552453 Chotěmice Quick edit Valid 2013-05-30 552453
552461 Chotoviny Quick edit Valid 2013-05-30 552461
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?