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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 2,381 to 2,400.First116117118119120121122123Last
Id Label Status Status Modified Notation
07295 Saint-Sauveur-de-Montagut Quick edit Valid 2013-05-30 07295
07296 Saint-Sernin Quick edit Valid 2013-05-30 07296
07297 Saint-Sylvestre Quick edit Valid 2013-05-30 07297
07298 Saint-Symphorien-sous-Chomérac Quick edit Valid 2013-05-30 07298
07299 Saint-Symphorien-de-Mahun Quick edit Valid 2013-05-30 07299
07300 Saint-Thomé Quick edit Valid 2013-05-30 07300
07301 Saint-Victor Quick edit Valid 2013-05-30 07301
07302 Saint-Vincent-de-Barrès Quick edit Valid 2013-05-30 07302
07303 Saint-Vincent-de-Durfort Quick edit Valid 2013-05-30 07303
07304 Salavas Quick edit Valid 2013-05-30 07304
07305 Les Salelles Quick edit Valid 2013-05-30 07305
07306 Sampzon Quick edit Valid 2013-05-30 07306
07307 Sanilhac Quick edit Valid 2013-05-30 07307
07308 Sarras Quick edit Valid 2013-05-30 07308
07309 Satillieu Quick edit Valid 2013-05-30 07309
07310 Savas Quick edit Valid 2013-05-30 07310
07311 Sceautres Quick edit Valid 2013-05-30 07311
07312 Sécheras Quick edit Valid 2013-05-30 07312
07313 Serrières Quick edit Valid 2013-05-30 07313
07314 Silhac Quick edit Valid 2013-05-30 07314
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?