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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 1,161 to 1,180.First5556575859606162Last
Id Label Status Status Modified Notation
538396 Šabina Quick edit Valid 2013-05-30 538396
538418 Křížkový Újezdec Quick edit Valid 2013-05-30 538418
538426 Kunice Quick edit Valid 2013-05-30 538426
538434 Svatava Quick edit Valid 2013-05-30 538434
538442 Líbeznice Quick edit Valid 2013-05-30 538442
538451 Louňovice Quick edit Valid 2013-05-30 538451
538469 Máslovice Quick edit Valid 2013-05-30 538469
538477 Měšice Quick edit Valid 2013-05-30 538477
538485 Mirošovice Quick edit Valid 2013-05-30 538485
538493 Mnichovice Quick edit Valid 2013-05-30 538493
538507 Mochov Quick edit Valid 2013-05-30 538507
538515 Mratín Quick edit Valid 2013-05-30 538515
538523 Mukařov Quick edit Valid 2013-05-30 538523
538540 Nehvizdy Quick edit Valid 2013-05-30 538540
538558 Nová Ves Quick edit Valid 2013-05-30 538558
538566 Nový Vestec Quick edit Valid 2013-05-30 538566
538574 Odolena Voda Quick edit Valid 2013-05-30 538574
538582 Ondřejov Quick edit Valid 2013-05-30 538582
538591 Dolní Rychnov Quick edit Valid 2013-05-30 538591
538604 Panenské Břežany Quick edit Valid 2013-05-30 538604
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?