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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 6,081 to 6,100.First301302303304305306307308Last
Id Label Status Status Modified Notation
598003 Frýdek-Místek Quick edit Valid 2013-05-30 598003
598011 Baška Quick edit Valid 2013-05-30 598011
598020 Bílá Quick edit Valid 2013-05-30 598020
598038 Brušperk Quick edit Valid 2013-05-30 598038
598046 Bruzovice Quick edit Valid 2013-05-30 598046
598062 Bystřice Quick edit Valid 2013-05-30 598062
598071 Čeladná Quick edit Valid 2013-05-30 598071
598089 Dobrá Quick edit Valid 2013-05-30 598089
598101 Dolní Domaslavice Quick edit Valid 2013-05-30 598101
598135 Fryčovice Quick edit Valid 2013-05-30 598135
598143 Frýdlant nad Ostravicí Quick edit Valid 2013-05-30 598143
598160 Hnojník Quick edit Valid 2013-05-30 598160
598178 Horní Bludovice Quick edit Valid 2013-05-30 598178
598232 Hrčava Quick edit Valid 2013-05-30 598232
598241 Pětikozly Quick edit Valid 2013-05-30 598241
598259 Jablunkov Quick edit Valid 2013-05-30 598259
598267 Modletice Quick edit Valid 2013-05-30 598267
598275 Kaňovice Quick edit Valid 2013-05-30 598275
598283 Sedlec Quick edit Valid 2013-05-30 598283
598291 Čakovičky Quick edit Valid 2013-05-30 598291
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?