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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 35,241 to 35,260.First1,7591,7601,7611,7621,7631,7641,7651,766Last
Id Label Status Status Modified Notation
88254 Jorxey Quick edit Valid 2013-05-30 88254
88255 Jubainville Quick edit Valid 2013-05-30 88255
88256 Jussarupt Quick edit Valid 2013-05-30 88256
88257 Juvaincourt Quick edit Valid 2013-05-30 88257
88258 Lamarche Quick edit Valid 2013-05-30 88258
88259 Landaville Quick edit Valid 2013-05-30 88259
88260 Langley Quick edit Valid 2013-05-30 88260
88261 Laval-sur-Vologne Quick edit Valid 2013-05-30 88261
88262 Laveline-devant-Bruyères Quick edit Valid 2013-05-30 88262
88263 Laveline-du-Houx Quick edit Valid 2013-05-30 88263
88264 Légéville-et-Bonfays Quick edit Valid 2013-05-30 88264
88265 Lemmecourt Quick edit Valid 2013-05-30 88265
88266 Lépanges-sur-Vologne Quick edit Valid 2013-05-30 88266
88267 Lerrain Quick edit Valid 2013-05-30 88267
88268 Lesseux Quick edit Valid 2013-05-30 88268
88269 Liézey Quick edit Valid 2013-05-30 88269
88270 Liffol-le-Grand Quick edit Valid 2013-05-30 88270
88271 Lignéville Quick edit Valid 2013-05-30 88271
88272 Lironcourt Quick edit Valid 2013-05-30 88272
88273 Longchamp Quick edit Valid 2013-05-30 88273
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?