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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

2,479 concepts found, displaying 601 to 620.First2728293031323334Last
Id Label Status Status Modified Notation
212221704 Kościelisko Quick edit Valid 2013-05-30 212221704
212221705 Poronin Quick edit Valid 2013-05-30 212221705
212226201 Nowy Sącz Quick edit Valid 2013-05-30 212226201
212230301 Alwernia Quick edit Valid 2013-05-30 212230301
212230302 Babice Quick edit Valid 2013-05-30 212230302
212230303 Chrzanów Quick edit Valid 2013-05-30 212230303
212230304 Libiąż Quick edit Valid 2013-05-30 212230304
212230305 Trzebinia Quick edit Valid 2013-05-30 212230305
212231201 Bukowno Quick edit Valid 2013-05-30 212231201
212231203 Bolesław Quick edit Valid 2013-05-30 212231203
212231204 Klucze Quick edit Valid 2013-05-30 212231204
212231205 Olkusz Quick edit Valid 2013-05-30 212231205
212231206 Trzyciąż Quick edit Valid 2013-05-30 212231206
212231207 Wolbrom Quick edit Valid 2013-05-30 212231207
212231301 Oświęcim Quick edit Valid 2013-05-30 212231301
212231302 Brzeszcze Quick edit Valid 2013-05-30 212231302
212231303 Chełmek Quick edit Valid 2013-05-30 212231303
212231304 Kęty Quick edit Valid 2013-05-30 212231304
212231305 Osiek Quick edit Valid 2013-05-30 212231305
212231306 Oświęcim Quick edit Valid 2013-05-30 212231306
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?