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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 3,501 to 3,520.First172173174175176177178179Last
Id Label Status Status Modified Notation
170405 Mesão Frio (São Nicolau) Quick edit Valid 2013-05-30 170405
170406 Vila Jusã Quick edit Valid 2013-05-30 170406
170407 Vila Marim Quick edit Valid 2013-05-30 170407
170501 Atei Quick edit Valid 2013-05-30 170501
170502 Bilhó Quick edit Valid 2013-05-30 170502
170503 Campanhó Quick edit Valid 2013-05-30 170503
170504 Ermelo Quick edit Valid 2013-05-30 170504
170505 Mondim de Basto Quick edit Valid 2013-05-30 170505
170506 Paradança Quick edit Valid 2013-05-30 170506
170507 Pardelhas Quick edit Valid 2013-05-30 170507
170508 Vilar de Ferreiros Quick edit Valid 2013-05-30 170508
170601 Cabril Quick edit Valid 2013-05-30 170601
170602 Cambeses do Rio Quick edit Valid 2013-05-30 170602
170603 Cervos Quick edit Valid 2013-05-30 170603
170604 Chã Quick edit Valid 2013-05-30 170604
170605 Contim Quick edit Valid 2013-05-30 170605
170606 Covelães Quick edit Valid 2013-05-30 170606
170607 Covelo do Gerês Quick edit Valid 2013-05-30 170607
170608 Donões Quick edit Valid 2013-05-30 170608
170609 Ferral Quick edit Valid 2013-05-30 170609
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?