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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
order Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

44 concepts found, displaying 1 to 20.FirstPrev123Last
Id Label Status Status Modified Notation
D1 First decile Quick edit Valid 2016-07-21 D1
D10 Tenth decile Quick edit Valid 2016-07-21 D10
D2 Second decile Quick edit Valid 2016-07-21 D2
D3 Third decile Quick edit Valid 2016-07-21 D3
D4 Fourth decile Quick edit Valid 2016-07-21 D4
D5 Fifth decile Quick edit Valid 2016-07-21 D5
D6 Sixth decile Quick edit Valid 2016-07-21 D6
D7 Seventh decile Quick edit Valid 2016-07-21 D7
D8 Eighth decile Quick edit Valid 2016-07-21 D8
D9 Ninth decile Quick edit Valid 2016-07-21 D9
MED Median Quick edit Valid 2016-07-21 MED
NONE No income Quick edit Valid 2011-10-10 NONE
P1 First percentile Quick edit Valid 2016-07-21 P1
P10 Tenth percentile Quick edit Valid 2016-07-21 P10
P100 Hundredth percentile Quick edit Valid 2016-07-21 P100
P2 Second percentile Quick edit Valid 2016-07-21 P2
P25 Twenty-fifth percentile Quick edit Valid 2016-07-21 P25
P3 Third percentile Quick edit Valid 2016-07-21 P3
P4 Fourth percentile Quick edit Valid 2016-07-21 P4
P5 Fifth percentile Quick edit Valid 2016-07-21 P5
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?