You are here:
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 33,041 to 33,060.First1,6491,6501,6511,6521,6531,6541,6551,656Last
Id Label Status Status Modified Notation
80435 Hesbécourt Quick edit Valid 2013-05-30 80435
80436 Hescamps Quick edit Valid 2013-05-30 80436
80437 Heucourt-Croquoison Quick edit Valid 2013-05-30 80437
80438 Heudicourt Quick edit Valid 2013-05-30 80438
80439 Heuzecourt Quick edit Valid 2013-05-30 80439
80440 Hiermont Quick edit Valid 2013-05-30 80440
80442 Hombleux Quick edit Valid 2013-05-30 80442
80443 Hornoy-le-Bourg Quick edit Valid 2013-05-30 80443
80444 Huchenneville Quick edit Valid 2013-05-30 80444
80445 Humbercourt Quick edit Valid 2013-05-30 80445
80446 Huppy Quick edit Valid 2013-05-30 80446
80447 Hyencourt-le-Grand Quick edit Valid 2013-05-30 80447
80449 Ignaucourt Quick edit Valid 2013-05-30 80449
80450 Inval-Boiron Quick edit Valid 2013-05-30 80450
80451 Irles Quick edit Valid 2013-05-30 80451
80452 Jumel Quick edit Valid 2013-05-30 80452
80453 Laboissière-en-Santerre Quick edit Valid 2013-05-30 80453
80455 Lachapelle Quick edit Valid 2013-05-30 80455
80456 Lafresguimont-Saint-Martin Quick edit Valid 2013-05-30 80456
80458 Lahoussoye Quick edit Valid 2013-05-30 80458
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?