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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 5,781 to 5,800.First286287288289290291292293Last
Id Label Status Status Modified Notation
594369 Litobratřice Quick edit Valid 2013-05-30 594369
594377 Loděnice Quick edit Valid 2013-05-30 594377
594385 Lubnice Quick edit Valid 2013-05-30 594385
594393 Lukov Quick edit Valid 2013-05-30 594393
594407 Mackovice Quick edit Valid 2013-05-30 594407
594415 Mašovice Quick edit Valid 2013-05-30 594415
594423 Medlice Quick edit Valid 2013-05-30 594423
594431 Mikulovice Quick edit Valid 2013-05-30 594431
594440 Milíčovice Quick edit Valid 2013-05-30 594440
594458 Miroslav Quick edit Valid 2013-05-30 594458
594466 Miroslavské Knínice Quick edit Valid 2013-05-30 594466
594474 Morašice Quick edit Valid 2013-05-30 594474
594482 Moravský Krumlov Quick edit Valid 2013-05-30 594482
594512 Našiměřice Quick edit Valid 2013-05-30 594512
594521 Němčičky Quick edit Valid 2013-05-30 594521
594555 Olbramkostel Quick edit Valid 2013-05-30 594555
594563 Olbramovice Quick edit Valid 2013-05-30 594563
594571 Oleksovice Quick edit Valid 2013-05-30 594571
594580 Onšov Quick edit Valid 2013-05-30 594580
594598 Oslnovice Quick edit Valid 2013-05-30 594598
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?