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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 4,141 to 4,160.First204205206207208209210211Last
Id Label Status Status Modified Notation
574481 Studnice Quick edit Valid 2013-05-30 574481
574490 Suchý Důl Quick edit Valid 2013-05-30 574490
574511 Šonov Quick edit Valid 2013-05-30 574511
574538 Teplice nad Metují Quick edit Valid 2013-05-30 574538
574546 Kramolna Quick edit Valid 2013-05-30 574546
574554 Velichovky Quick edit Valid 2013-05-30 574554
574562 Velká Jesenice Quick edit Valid 2013-05-30 574562
574571 Velké Petrovice Quick edit Valid 2013-05-30 574571
574589 Velký Třebešov Quick edit Valid 2013-05-30 574589
574597 Vilantice Quick edit Valid 2013-05-30 574597
574601 Vlkov Quick edit Valid 2013-05-30 574601
574627 Vršovka Quick edit Valid 2013-05-30 574627
574635 Vysoká Srbská Quick edit Valid 2013-05-30 574635
574643 Vysokov Quick edit Valid 2013-05-30 574643
574651 Zábrodí Quick edit Valid 2013-05-30 574651
574660 Zaloňov Quick edit Valid 2013-05-30 574660
574686 Žďár nad Metují Quick edit Valid 2013-05-30 574686
574694 Žďárky Quick edit Valid 2013-05-30 574694
574708 Žernov Quick edit Valid 2013-05-30 574708
574724 Barchov Quick edit Valid 2013-05-30 574724
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?