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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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
306091907 Wola Uhruska Quick edit Valid 2013-05-30 306091907
306091908 Wyryki Quick edit Valid 2013-05-30 306091908
306096101 Biała Podlaska Quick edit Valid 2013-05-30 306096101
306100201 Biłgoraj Quick edit Valid 2013-05-30 306100201
306100202 Aleksandrów Quick edit Valid 2013-05-30 306100202
306100203 Biłgoraj Quick edit Valid 2013-05-30 306100203
306100204 Biszcza Quick edit Valid 2013-05-30 306100204
306100205 Frampol Quick edit Valid 2013-05-30 306100205
306100206 Goraj Quick edit Valid 2013-05-30 306100206
306100207 Józefów Quick edit Valid 2013-05-30 306100207
306100208 Księżpol Quick edit Valid 2013-05-30 306100208
306100209 Łukowa Quick edit Valid 2013-05-30 306100209
306100210 Obsza Quick edit Valid 2013-05-30 306100210
306100211 Potok Górny Quick edit Valid 2013-05-30 306100211
306100212 Tarnogród Quick edit Valid 2013-05-30 306100212
306100213 Tereszpol Quick edit Valid 2013-05-30 306100213
306100214 Turobin Quick edit Valid 2013-05-30 306100214
306100301 Rejowiec Fabryczny Quick edit Valid 2013-05-30 306100301
306100302 Białopole Quick edit Valid 2013-05-30 306100302
306100303 Chełm Quick edit Valid 2013-05-30 306100303
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?