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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
skos:narrowMatch 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

15 concepts found, displaying all concepts.
Id Label Status Status Modified Notation
0037 0037 Quick edit Valid 2013-06-05 0037
0039 0039 Quick edit Valid 2013-06-05 0039
0044 0044 Quick edit Valid 2013-06-05 0044
0049 0049 Quick edit Valid 2013-06-05 0049
0051 0051 Quick edit Valid 2013-06-05 0051
0057 0057 Quick edit Valid 2013-06-05 0057
0059 0059 Quick edit Valid 2013-06-05 0059
0065 0065 Quick edit Valid 2013-06-05 0065
0067 0067 Quick edit Valid 2013-06-05 0067
0070 0070 Quick edit Valid 2013-06-05 0070
0074 0074 Quick edit Valid 2013-06-05 0074
0078 0078 Quick edit Valid 2013-06-05 0078
0082 0082 Quick edit Valid 2013-06-05 0082
0084 0084 Quick edit Valid 2013-06-05 0084
0086 0086 Quick edit Valid 2013-06-05 0086
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?