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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 32,761 to 32,780.First1,6351,6361,6371,6381,6391,6401,6411,642Last
Id Label Status Status Modified Notation
80141 Brie Quick edit Valid 2013-05-30 80141
80142 Briquemesnil-Floxicourt Quick edit Valid 2013-05-30 80142
80143 Brocourt Quick edit Valid 2013-05-30 80143
80144 Brouchy Quick edit Valid 2013-05-30 80144
80145 Brucamps Quick edit Valid 2013-05-30 80145
80146 Brutelles Quick edit Valid 2013-05-30 80146
80147 Buigny-l'Abbé Quick edit Valid 2013-05-30 80147
80148 Buigny-lès-Gamaches Quick edit Valid 2013-05-30 80148
80149 Buigny-Saint-Maclou Quick edit Valid 2013-05-30 80149
80150 Buire-Courcelles Quick edit Valid 2013-05-30 80150
80151 Buire-sur-l'Ancre Quick edit Valid 2013-05-30 80151
80152 Bus-la-Mésière Quick edit Valid 2013-05-30 80152
80153 Bus-lès-Artois Quick edit Valid 2013-05-30 80153
80154 Bussu Quick edit Valid 2013-05-30 80154
80155 Bussus-Bussuel Quick edit Valid 2013-05-30 80155
80156 Bussy-lès-Daours Quick edit Valid 2013-05-30 80156
80157 Bussy-lès-Poix Quick edit Valid 2013-05-30 80157
80158 Buverchy Quick edit Valid 2013-05-30 80158
80159 Cachy Quick edit Valid 2013-05-30 80159
80160 Cagny Quick edit Valid 2013-05-30 80160
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?