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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 5,321 to 5,340.First263264265266267268269270Last
Id Label Status Status Modified Notation
588849 Pačlavice Quick edit Valid 2013-05-30 588849
588865 Počenice-Tetětice Quick edit Valid 2013-05-30 588865
588873 Podhradní Lhota Quick edit Valid 2013-05-30 588873
588890 Pravčice Quick edit Valid 2013-05-30 588890
588903 Prusinovice Quick edit Valid 2013-05-30 588903
588920 Rajnochovice Quick edit Valid 2013-05-30 588920
588938 Rataje Quick edit Valid 2013-05-30 588938
588946 Roštění Quick edit Valid 2013-05-30 588946
588954 Roštín Quick edit Valid 2013-05-30 588954
588962 Rusava Quick edit Valid 2013-05-30 588962
588971 Rymice Quick edit Valid 2013-05-30 588971
588989 Skaštice Quick edit Valid 2013-05-30 588989
588997 Slavkov pod Hostýnem Quick edit Valid 2013-05-30 588997
589004 Soběsuky Quick edit Valid 2013-05-30 589004
589039 Střílky Quick edit Valid 2013-05-30 589039
589047 Střížovice Quick edit Valid 2013-05-30 589047
589055 Sulimov Quick edit Valid 2013-05-30 589055
589080 Troubky-Zdislavice Quick edit Valid 2013-05-30 589080
589098 Třebětice Quick edit Valid 2013-05-30 589098
589110 Uhřice Quick edit Valid 2013-05-30 589110
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?