You are here:
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

79 concepts found, displaying 1 to 20.FirstPrev1234Last
Id Label Status Status Modified Notation
101 101 Quick edit Valid 2013-06-05 101
102 102 Quick edit Valid 2013-06-05 102
103 103 Quick edit Valid 2013-06-05 103
104 104 Quick edit Valid 2013-06-05 104
105 105 Quick edit Valid 2013-06-05 105
106 106 Quick edit Valid 2013-06-05 106
107 107 Quick edit Valid 2013-06-05 107
108 108 Quick edit Valid 2013-06-05 108
201 201 Quick edit Valid 2013-06-05 201
202 202 Quick edit Valid 2013-06-05 202
203 203 Quick edit Valid 2013-06-05 203
204 204 Quick edit Valid 2013-06-05 204
205 205 Quick edit Valid 2013-06-05 205
206 206 Quick edit Valid 2013-06-05 206
207 207 Quick edit Valid 2013-06-05 207
301 301 Quick edit Valid 2013-06-05 301
302 302 Quick edit Valid 2013-06-05 302
303 303 Quick edit Valid 2013-06-05 303
304 304 Quick edit Valid 2013-06-05 304
305 305 Quick edit Valid 2013-06-05 305
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?