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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 2,741 to 2,760.First134135136137138139140141Last
Id Label Status Status Modified Notation
08339 Perthes Quick edit Valid 2013-05-30 08339
08340 Poilcourt-Sydney Quick edit Valid 2013-05-30 08340
08341 Poix-Terron Quick edit Valid 2013-05-30 08341
08342 Pouru-aux-Bois Quick edit Valid 2013-05-30 08342
08343 Pouru-Saint-Remy Quick edit Valid 2013-05-30 08343
08344 Prez Quick edit Valid 2013-05-30 08344
08346 Prix-lès-Mézières Quick edit Valid 2013-05-30 08346
08347 Puilly-et-Charbeaux Quick edit Valid 2013-05-30 08347
08348 Puiseux Quick edit Valid 2013-05-30 08348
08349 Pure Quick edit Valid 2013-05-30 08349
08350 Quatre-Champs Quick edit Valid 2013-05-30 08350
08351 Quilly Quick edit Valid 2013-05-30 08351
08352 Raillicourt Quick edit Valid 2013-05-30 08352
08353 Rancennes Quick edit Valid 2013-05-30 08353
08354 Raucourt-et-Flaba Quick edit Valid 2013-05-30 08354
08355 Regniowez Quick edit Valid 2013-05-30 08355
08356 Remaucourt Quick edit Valid 2013-05-30 08356
08357 Remilly-Aillicourt Quick edit Valid 2013-05-30 08357
08358 Remilly-les-Pothées Quick edit Valid 2013-05-30 08358
08360 Renneville Quick edit Valid 2013-05-30 08360
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?