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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 3,401 to 3,420.First167168169170171172173174Last
Id Label Status Status Modified Notation
161006 Gondarém Quick edit Valid 2013-05-30 161006
161007 Loivo Quick edit Valid 2013-05-30 161007
161008 Lovelhe Quick edit Valid 2013-05-30 161008
161009 Mentrestido Quick edit Valid 2013-05-30 161009
161010 Nogueira Quick edit Valid 2013-05-30 161010
161011 Reboreda Quick edit Valid 2013-05-30 161011
161012 Sapardos Quick edit Valid 2013-05-30 161012
161013 Sopo Quick edit Valid 2013-05-30 161013
161014 Vila Meã Quick edit Valid 2013-05-30 161014
161015 Vila Nova de Cerveira Quick edit Valid 2013-05-30 161015
170101 Alijó Quick edit Valid 2013-05-30 170101
170102 Amieiro Quick edit Valid 2013-05-30 170102
170103 Carlão Quick edit Valid 2013-05-30 170103
170104 Casal de Loivos Quick edit Valid 2013-05-30 170104
170105 Castedo Quick edit Valid 2013-05-30 170105
170106 Cotas Quick edit Valid 2013-05-30 170106
170107 Favaios Quick edit Valid 2013-05-30 170107
170108 Pegarinhos Quick edit Valid 2013-05-30 170108
170109 Pinhão Quick edit Valid 2013-05-30 170109
170110 Pópulo Quick edit Valid 2013-05-30 170110
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?