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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 3,001 to 3,020.First147148149150151152153154Last
Id Label Status Status Modified Notation
562327 Třebětice Quick edit Valid 2013-05-30 562327
562335 Děčín Quick edit Valid 2013-05-30 562335
562343 Arnoltice Quick edit Valid 2013-05-30 562343
562351 Benešov nad Ploučnicí Quick edit Valid 2013-05-30 562351
562360 Nová Ves nad Lužnicí Quick edit Valid 2013-05-30 562360
562378 Staňkov Quick edit Valid 2013-05-30 562378
562386 Hamr Quick edit Valid 2013-05-30 562386
562394 Česká Kamenice Quick edit Valid 2013-05-30 562394
562408 Dobkovice Quick edit Valid 2013-05-30 562408
562416 Dobrohošť Quick edit Valid 2013-05-30 562416
562424 Županovice Quick edit Valid 2013-05-30 562424
562432 Dolní Podluží Quick edit Valid 2013-05-30 562432
562441 Dolní Poustevna Quick edit Valid 2013-05-30 562441
562459 Polště Quick edit Valid 2013-05-30 562459
562467 Dolní Pěna Quick edit Valid 2013-05-30 562467
562475 Okrouhlá Radouň Quick edit Valid 2013-05-30 562475
562483 Heřmanov Quick edit Valid 2013-05-30 562483
562491 Kačlehy Quick edit Valid 2013-05-30 562491
562505 Horní Podluží Quick edit Valid 2013-05-30 562505
562513 Hřensko Quick edit Valid 2013-05-30 562513
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?