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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 35,161 to 35,180.First1,7551,7561,7571,7581,7591,7601,7611,762Last
Id Label Status Status Modified Notation
88170 Ferdrupt Quick edit Valid 2013-05-30 88170
88171 Fignévelle Quick edit Valid 2013-05-30 88171
88172 Fiménil Quick edit Valid 2013-05-30 88172
88173 Florémont Quick edit Valid 2013-05-30 88173
88174 Fomerey Quick edit Valid 2013-05-30 88174
88175 Fontenay Quick edit Valid 2013-05-30 88175
88176 Fontenoy-le-Château Quick edit Valid 2013-05-30 88176
88177 La Forge Quick edit Valid 2013-05-30 88177
88178 Les Forges Quick edit Valid 2013-05-30 88178
88179 Fouchécourt Quick edit Valid 2013-05-30 88179
88180 Frain Quick edit Valid 2013-05-30 88180
88181 Fraize Quick edit Valid 2013-05-30 88181
88182 Frapelle Quick edit Valid 2013-05-30 88182
88183 Frebécourt Quick edit Valid 2013-05-30 88183
88184 Fremifontaine Quick edit Valid 2013-05-30 88184
88185 Frenelle-la-Grande Quick edit Valid 2013-05-30 88185
88186 Frenelle-la-Petite Quick edit Valid 2013-05-30 88186
88187 Frénois Quick edit Valid 2013-05-30 88187
88188 Fresse-sur-Moselle Quick edit Valid 2013-05-30 88188
88189 Fréville Quick edit Valid 2013-05-30 88189
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?