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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 5,361 to 5,380.First265266267268269270271272Last
Id Label Status Status Modified Notation
589365 Čehovice Quick edit Valid 2013-05-30 589365
589381 Čechy pod Kosířem Quick edit Valid 2013-05-30 589381
589390 Čelčice Quick edit Valid 2013-05-30 589390
589403 Čelechovice na Hané Quick edit Valid 2013-05-30 589403
589420 Dětkovice Quick edit Valid 2013-05-30 589420
589438 Dobrochov Quick edit Valid 2013-05-30 589438
589446 Dobromilice Quick edit Valid 2013-05-30 589446
589454 Doloplazy Quick edit Valid 2013-05-30 589454
589462 Drahany Quick edit Valid 2013-05-30 589462
589489 Dřevnovice Quick edit Valid 2013-05-30 589489
589497 Dzbel Quick edit Valid 2013-05-30 589497
589501 Hluchov Quick edit Valid 2013-05-30 589501
589519 Horní Štěpánov Quick edit Valid 2013-05-30 589519
589527 Hradčany-Kobeřice Quick edit Valid 2013-05-30 589527
589535 Hrdibořice Quick edit Valid 2013-05-30 589535
589543 Hrubčice Quick edit Valid 2013-05-30 589543
589560 Hvozd Quick edit Valid 2013-05-30 589560
589578 Ivaň Quick edit Valid 2013-05-30 589578
589586 Jesenec Quick edit Valid 2013-05-30 589586
589594 Kladky Quick edit Valid 2013-05-30 589594
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?