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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 3,381 to 3,400.First166167168169170171172173Last
Id Label Status Status Modified Notation
160926 Perre Quick edit Valid 2013-05-30 160926
160927 Portela Susã Quick edit Valid 2013-05-30 160927
160928 Santa Marta de Portuzelo Quick edit Valid 2013-05-30 160928
160929 Geraz do Lima (Santa Leocádia) Quick edit Valid 2013-05-30 160929
160930 Geraz do Lima (Santa Maria) Quick edit Valid 2013-05-30 160930
160931 Viana do Castelo (Santa Maria Maior) Quick edit Valid 2013-05-30 160931
160932 Serreleis Quick edit Valid 2013-05-30 160932
160933 Subportela Quick edit Valid 2013-05-30 160933
160934 Torre Quick edit Valid 2013-05-30 160934
160935 Vila Franca Quick edit Valid 2013-05-30 160935
160936 Vila Fria Quick edit Valid 2013-05-30 160936
160937 Vila Mou Quick edit Valid 2013-05-30 160937
160938 Vila de Punhe Quick edit Valid 2013-05-30 160938
160939 Vilar de Murteda Quick edit Valid 2013-05-30 160939
160940 Chafé Quick edit Valid 2013-05-30 160940
161001 Campos Quick edit Valid 2013-05-30 161001
161002 Candemil Quick edit Valid 2013-05-30 161002
161003 Cornes Quick edit Valid 2013-05-30 161003
161004 Covas Quick edit Valid 2013-05-30 161004
161005 Gondar Quick edit Valid 2013-05-30 161005
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?