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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 5,581 to 5,600.First276277278279280281282283Last
Id Label Status Status Modified Notation
592081 Březolupy Quick edit Valid 2013-05-30 592081
592099 Březová Quick edit Valid 2013-05-30 592099
592102 Buchlovice Quick edit Valid 2013-05-30 592102
592111 Bystřice pod Lopeníkem Quick edit Valid 2013-05-30 592111
592137 Částkov Quick edit Valid 2013-05-30 592137
592145 Dolní Němčí Quick edit Valid 2013-05-30 592145
592153 Drslavice Quick edit Valid 2013-05-30 592153
592170 Hluk Quick edit Valid 2013-05-30 592170
592188 Horní Němčí Quick edit Valid 2013-05-30 592188
592196 Hostějov Quick edit Valid 2013-05-30 592196
592200 Hradčovice Quick edit Valid 2013-05-30 592200
592218 Huštěnovice Quick edit Valid 2013-05-30 592218
592226 Jalubí Quick edit Valid 2013-05-30 592226
592234 Jankovice Quick edit Valid 2013-05-30 592234
592251 Kelníky Quick edit Valid 2013-05-30 592251
592269 Kněžpole Quick edit Valid 2013-05-30 592269
592277 Komňa Quick edit Valid 2013-05-30 592277
592285 Korytná Quick edit Valid 2013-05-30 592285
592293 Kostelany nad Moravou Quick edit Valid 2013-05-30 592293
592307 Košíky Quick edit Valid 2013-05-30 592307
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?