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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 1,421 to 1,440.First6869707172737475Last
Id Label Status Status Modified Notation
326531202 Łubnice Quick edit Valid 2013-05-30 326531202
326531203 Oleśnica Quick edit Valid 2013-05-30 326531203
326531204 Osiek Quick edit Valid 2013-05-30 326531204
326531205 Połaniec Quick edit Valid 2013-05-30 326531205
326531206 Rytwiany Quick edit Valid 2013-05-30 326531206
326531207 Staszów Quick edit Valid 2013-05-30 326531207
326531208 Szydłów Quick edit Valid 2013-05-30 326531208
326531301 Kluczewsko Quick edit Valid 2013-05-30 326531301
326531302 Krasocin Quick edit Valid 2013-05-30 326531302
326531303 Moskorzew Quick edit Valid 2013-05-30 326531303
326531304 Radków Quick edit Valid 2013-05-30 326531304
326531305 Secemin Quick edit Valid 2013-05-30 326531305
326531306 Włoszczowa Quick edit Valid 2013-05-30 326531306
408130101 Kostrzyn nad Odrą Quick edit Valid 2013-05-30 408130101
408130102 Bogdaniec Quick edit Valid 2013-05-30 408130102
408130103 Deszczno Quick edit Valid 2013-05-30 408130103
408130104 Kłodawa Quick edit Valid 2013-05-30 408130104
408130105 Lubiszyn Quick edit Valid 2013-05-30 408130105
408130106 Santok Quick edit Valid 2013-05-30 408130106
408130107 Witnica Quick edit Valid 2013-05-30 408130107
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?