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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 4,121 to 4,140.First203204205206207208209210Last
Id Label Status Status Modified Notation
574261 Nahořany Quick edit Valid 2013-05-30 574261
574279 Nové Město nad Metují Quick edit Valid 2013-05-30 574279
574287 Nový Hrádek Quick edit Valid 2013-05-30 574287
574295 Nový Ples Quick edit Valid 2013-05-30 574295
574309 Bezděčí u Trnávky Quick edit Valid 2013-05-30 574309
574317 Otovice Quick edit Valid 2013-05-30 574317
574325 Gruna Quick edit Valid 2013-05-30 574325
574333 Radkov Quick edit Valid 2013-05-30 574333
574341 Police nad Metují Quick edit Valid 2013-05-30 574341
574350 Provodov-Šonov Quick edit Valid 2013-05-30 574350
574368 Přibyslav Quick edit Valid 2013-05-30 574368
574376 Rasošky Quick edit Valid 2013-05-30 574376
574384 Rožnov Quick edit Valid 2013-05-30 574384
574392 Sázava Quick edit Valid 2013-05-30 574392
574406 Rychnovek Quick edit Valid 2013-05-30 574406
574422 Slatina nad Úpou Quick edit Valid 2013-05-30 574422
574431 Slavětín nad Metují Quick edit Valid 2013-05-30 574431
574449 Kosořín Quick edit Valid 2013-05-30 574449
574457 Slavoňov Quick edit Valid 2013-05-30 574457
574465 Stárkov Quick edit Valid 2013-05-30 574465
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?