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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

116 concepts found, displaying 81 to 100.First123456Last
Id Label Status Status Modified Notation
0904 Goesdorf / Géisdref Quick edit Valid 2013-05-31 0904
0905 Lac de la Haute-Sûre / Stauséigemeng Quick edit Valid 2013-05-31 0905
0906 Heiderscheid / Heischent Quick edit Valid 2013-05-31 0906
0907 Kiischpelt Quick edit Valid 2013-05-31 0907
0909 Neunhausen / Néngsen Quick edit Valid 2013-05-31 0909
0911 Wiltz / Woltz Quick edit Valid 2013-05-31 0911
0913 Winseler / Wanseler Quick edit Valid 2013-05-31 0913
1001 Tandel Quick edit Valid 2013-05-31 1001
1002 Putscheid / Pëtscht Quick edit Valid 2013-05-31 1002
1003 Vianden / Veianen Quick edit Valid 2013-05-31 1003
1101 Beaufort / Beefort Quick edit Valid 2013-05-31 1101
1102 Bech Quick edit Valid 2013-05-31 1102
1103 Berdorf / Bäerdref Quick edit Valid 2013-05-31 1103
1104 Consdorf / Konsdref Quick edit Valid 2013-05-31 1104
1105 Echternach / Iechternach Quick edit Valid 2013-05-31 1105
1106 Mompach / Mompech Quick edit Valid 2013-05-31 1106
1107 Rosport / Rouspert Quick edit Valid 2013-05-31 1107
1108 Waldbillig / Waldbëlleg Quick edit Valid 2013-05-31 1108
1201 Betzdorf / Betzder Quick edit Valid 2013-05-31 1201
1202 Biwer Quick edit Valid 2013-05-31 1202
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?