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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 3,761 to 3,780.First185186187188189190191192Last
Id Label Status Status Modified Notation
180518 Pretarouca Quick edit Valid 2013-05-30 180518
180519 Samodães Quick edit Valid 2013-05-30 180519
180520 Sande Quick edit Valid 2013-05-30 180520
180521 Lamego (Sé) Quick edit Valid 2013-05-30 180521
180522 Valdigem Quick edit Valid 2013-05-30 180522
180523 Várzea de Abrunhais Quick edit Valid 2013-05-30 180523
180524 Vila Nova de Souto d' El-Rei Quick edit Valid 2013-05-30 180524
180601 Abrunhosa-a-Velha Quick edit Valid 2013-05-30 180601
180602 Alcafache Quick edit Valid 2013-05-30 180602
180603 Chãs de Tavares Quick edit Valid 2013-05-30 180603
180604 Cunha Alta Quick edit Valid 2013-05-30 180604
180605 Cunha Baixa Quick edit Valid 2013-05-30 180605
180606 Espinho Quick edit Valid 2013-05-30 180606
180607 Fornos de Maceira Dão Quick edit Valid 2013-05-30 180607
180608 Freixiosa Quick edit Valid 2013-05-30 180608
180609 Lobelhe do Mato Quick edit Valid 2013-05-30 180609
180610 Mangualde Quick edit Valid 2013-05-30 180610
180611 Mesquitela Quick edit Valid 2013-05-30 180611
180612 Moimenta de Maceira Dão Quick edit Valid 2013-05-30 180612
180613 Póvoa de Cervães Quick edit Valid 2013-05-30 180613
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?