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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
errorType Fixed values
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
07 Mar 2017
skos:editorialNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:hiddenLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

291 concepts found, displaying 1 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
B001 Invalid code. Quick edit Valid 2019-04-16 B001
B002 Mandatory information missing. Quick edit Valid 2019-04-16 B002
B003 Invalid code. Quick edit Valid 2019-04-16 B003
B004 Mandatory information missing. Quick edit Valid 2019-04-16 B004
B005 Invalid code. Quick edit Valid 2019-04-16 B005
B006 Mandatory information missing. Quick edit Valid 2019-04-16 B006
B007 Incoherent information. Quick edit Valid 2019-04-16 B007
B008 Incoherent information. Quick edit Valid 2019-04-16 B008
B009 Incoherent information. Quick edit Valid 2019-04-16 B009
B010 Incoherent information. Quick edit Valid 2019-04-16 B010
B011 Incoherent information. Quick edit Valid 2019-04-16 B011
B012 Invalid code. Quick edit Valid 2019-04-16 B012
B013 Mandatory information missing. Quick edit Valid 2019-04-16 B013
B014 Incorrect data format. Quick edit Valid 2019-04-16 B014
B015 Incoherent information. Quick edit Valid 2019-04-16 B015
B016 Mandatory information missing. Quick edit Valid 2019-04-16 B016
B017 Invalid code. Quick edit Valid 2019-04-16 B017
B018 Incoherent information. Quick edit Valid 2019-04-16 B018
B019 Incoherent information. Quick edit Valid 2019-04-16 B019
B020 Incoherent information. Quick edit Valid 2019-04-16 B020
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?