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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 3,721 to 3,740.First183184185186187188189190Last
Id Label Status Status Modified Notation
180317 Pepim Quick edit Valid 2013-05-30 180317
180318 Picão Quick edit Valid 2013-05-30 180318
180319 Pinheiro Quick edit Valid 2013-05-30 180319
180320 Reriz Quick edit Valid 2013-05-30 180320
180321 Ribolhos Quick edit Valid 2013-05-30 180321
180322 São Joaninho Quick edit Valid 2013-05-30 180322
180401 Alhões Quick edit Valid 2013-05-30 180401
180402 Bustelo Quick edit Valid 2013-05-30 180402
180403 Cinfães Quick edit Valid 2013-05-30 180403
180404 Espadanedo Quick edit Valid 2013-05-30 180404
180405 Ferreiros de Tendais Quick edit Valid 2013-05-30 180405
180406 Fornelos Quick edit Valid 2013-05-30 180406
180407 Gralheira Quick edit Valid 2013-05-30 180407
180408 Moimenta Quick edit Valid 2013-05-30 180408
180409 Nespereira Quick edit Valid 2013-05-30 180409
180410 Oliveira do Douro Quick edit Valid 2013-05-30 180410
180411 Ramires Quick edit Valid 2013-05-30 180411
180412 Santiago de Piães Quick edit Valid 2013-05-30 180412
180413 São Cristóvão de Nogueira Quick edit Valid 2013-05-30 180413
180414 Souselo Quick edit Valid 2013-05-30 180414
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?