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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 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
030919 Póvoa de Lanhoso (Nossa Senhora do Amparo) Quick edit Valid 2013-05-30 030919
030920 Oliveira Quick edit Valid 2013-05-30 030920
030921 Rendufinho Quick edit Valid 2013-05-30 030921
030922 Santo Emilião Quick edit Valid 2013-05-30 030922
030923 São João de Rei Quick edit Valid 2013-05-30 030923
030924 Serzedelo Quick edit Valid 2013-05-30 030924
030925 Sobradelo da Goma Quick edit Valid 2013-05-30 030925
030926 Taíde Quick edit Valid 2013-05-30 030926
030927 Travassos Quick edit Valid 2013-05-30 030927
030928 Verim Quick edit Valid 2013-05-30 030928
030929 Vilela Quick edit Valid 2013-05-30 030929
031001 Balança Quick edit Valid 2013-05-30 031001
031002 Brufe Quick edit Valid 2013-05-30 031002
031003 Campo do Gerês Quick edit Valid 2013-05-30 031003
031004 Carvalheira Quick edit Valid 2013-05-30 031004
031005 Chamoim Quick edit Valid 2013-05-30 031005
031006 Chorense Quick edit Valid 2013-05-30 031006
031007 Cibões Quick edit Valid 2013-05-30 031007
031008 Covide Quick edit Valid 2013-05-30 031008
031009 Gondoriz Quick edit Valid 2013-05-30 031009
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?