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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

4,260 concepts found, displaying 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
030249 Milhazes Quick edit Valid 2013-05-30 030249
030250 Minhotães Quick edit Valid 2013-05-30 030250
030251 Monte de Fralães Quick edit Valid 2013-05-30 030251
030252 Moure Quick edit Valid 2013-05-30 030252
030253 Negreiros Quick edit Valid 2013-05-30 030253
030254 Oliveira Quick edit Valid 2013-05-30 030254
030255 Palme Quick edit Valid 2013-05-30 030255
030256 Panque Quick edit Valid 2013-05-30 030256
030257 Paradela Quick edit Valid 2013-05-30 030257
030258 Pedra Furada Quick edit Valid 2013-05-30 030258
030259 Pereira Quick edit Valid 2013-05-30 030259
030260 Perelhal Quick edit Valid 2013-05-30 030260
030261 Pousa Quick edit Valid 2013-05-30 030261
030262 Quintiães Quick edit Valid 2013-05-30 030262
030263 Remelhe Quick edit Valid 2013-05-30 030263
030264 Roriz Quick edit Valid 2013-05-30 030264
030265 Rio Covo (Santa Eugénia) Quick edit Valid 2013-05-30 030265
030266 Rio Covo (Santa Eulália) Quick edit Valid 2013-05-30 030266
030267 Tamel (Santa Leocádia) Quick edit Valid 2013-05-30 030267
030268 Galegos (Santa Maria) Quick edit Valid 2013-05-30 030268
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?