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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 3,461 to 3,480.First170171172173174175176177Last
Id Label Status Status Modified Notation
170317 Moreiras Quick edit Valid 2013-05-30 170317
170318 Nogueira da Montanha Quick edit Valid 2013-05-30 170318
170319 Oucidres Quick edit Valid 2013-05-30 170319
170320 Oura Quick edit Valid 2013-05-30 170320
170321 Outeiro Seco Quick edit Valid 2013-05-30 170321
170322 Paradela Quick edit Valid 2013-05-30 170322
170323 Póvoa de Agrações Quick edit Valid 2013-05-30 170323
170324 Redondelo Quick edit Valid 2013-05-30 170324
170325 Roriz Quick edit Valid 2013-05-30 170325
170326 Samaiões Quick edit Valid 2013-05-30 170326
170327 Sanfins Quick edit Valid 2013-05-30 170327
170328 Sanjurge Quick edit Valid 2013-05-30 170328
170329 Santa Leocádia Quick edit Valid 2013-05-30 170329
170330 Santo António de Monforte Quick edit Valid 2013-05-30 170330
170331 Santo Estêvão Quick edit Valid 2013-05-30 170331
170332 São Julião de Montenegro Quick edit Valid 2013-05-30 170332
170333 São Pedro de Agostém Quick edit Valid 2013-05-30 170333
170334 São Vicente Quick edit Valid 2013-05-30 170334
170335 Seara Velha Quick edit Valid 2013-05-30 170335
170336 Selhariz Quick edit Valid 2013-05-30 170336
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?