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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

36,682 concepts found, displaying 35,101 to 35,120.First1,7521,7531,7541,7551,7561,7571,7581,759Last
Id Label Status Status Modified Notation
88110 Clézentaine Quick edit Valid 2013-05-30 88110
88111 Coinches Quick edit Valid 2013-05-30 88111
88112 Colroy-la-Grande Quick edit Valid 2013-05-30 88112
88113 Combrimont Quick edit Valid 2013-05-30 88113
88114 Contrexéville Quick edit Valid 2013-05-30 88114
88115 Corcieux Quick edit Valid 2013-05-30 88115
88116 Cornimont Quick edit Valid 2013-05-30 88116
88117 Courcelles-sous-Châtenois Quick edit Valid 2013-05-30 88117
88118 Coussey Quick edit Valid 2013-05-30 88118
88119 Crainvilliers Quick edit Valid 2013-05-30 88119
88120 La Croix-aux-Mines Quick edit Valid 2013-05-30 88120
88121 Damas-aux-Bois Quick edit Valid 2013-05-30 88121
88122 Damas-et-Bettegney Quick edit Valid 2013-05-30 88122
88123 Damblain Quick edit Valid 2013-05-30 88123
88124 Darney Quick edit Valid 2013-05-30 88124
88125 Darney-aux-Chênes Quick edit Valid 2013-05-30 88125
88126 Darnieulles Quick edit Valid 2013-05-30 88126
88127 Deinvillers Quick edit Valid 2013-05-30 88127
88128 Denipaire Quick edit Valid 2013-05-30 88128
88129 Derbamont Quick edit Valid 2013-05-30 88129
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?