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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 3,421 to 3,440.First168169170171172173174175Last
Id Label Status Status Modified Notation
10197 Lignol-le-Château Quick edit Valid 2013-05-30 10197
10198 Lirey Quick edit Valid 2013-05-30 10198
10199 Loches-sur-Ource Quick edit Valid 2013-05-30 10199
10200 La Loge-aux-Chèvres Quick edit Valid 2013-05-30 10200
10201 La Loge-Pomblin Quick edit Valid 2013-05-30 10201
10202 Les Loges-Margueron Quick edit Valid 2013-05-30 10202
10203 Longchamp-sur-Aujon Quick edit Valid 2013-05-30 10203
10204 Longeville-sur-Mogne Quick edit Valid 2013-05-30 10204
10205 Longpré-le-Sec Quick edit Valid 2013-05-30 10205
10206 Longsols Quick edit Valid 2013-05-30 10206
10207 Longueville-sur-Aube Quick edit Valid 2013-05-30 10207
10208 La Louptière-Thénard Quick edit Valid 2013-05-30 10208
10209 Lusigny-sur-Barse Quick edit Valid 2013-05-30 10209
10210 Luyères Quick edit Valid 2013-05-30 10210
10211 Macey Quick edit Valid 2013-05-30 10211
10212 Machy Quick edit Valid 2013-05-30 10212
10213 Magnant Quick edit Valid 2013-05-30 10213
10214 Magnicourt Quick edit Valid 2013-05-30 10214
10215 Magny-Fouchard Quick edit Valid 2013-05-30 10215
10216 Mailly-le-Camp Quick edit Valid 2013-05-30 10216
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?