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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

379 concepts found, displaying 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
5020125 5020125 Quick edit Valid 2013-06-05 5020125
5020126 5020126 Quick edit Valid 2013-06-05 5020126
5020161 5020161 Quick edit Valid 2013-06-05 5020161
5020203 5020203 Quick edit Valid 2013-06-05 5020203
5020204 5020204 Quick edit Valid 2013-06-05 5020204
5020209 5020209 Quick edit Valid 2013-06-05 5020209
5020211 5020211 Quick edit Valid 2013-06-05 5020211
5020216 5020216 Quick edit Valid 2013-06-05 5020216
5020262 5020262 Quick edit Valid 2013-06-05 5020262
5020302 5020302 Quick edit Valid 2013-06-05 5020302
5020308 5020308 Quick edit Valid 2013-06-05 5020308
5020319 5020319 Quick edit Valid 2013-06-05 5020319
5020321 5020321 Quick edit Valid 2013-06-05 5020321
5020324 5020324 Quick edit Valid 2013-06-05 5020324
5020413 5020413 Quick edit Valid 2013-06-05 5020413
5020414 5020414 Quick edit Valid 2013-06-05 5020414
5020415 5020415 Quick edit Valid 2013-06-05 5020415
5020417 5020417 Quick edit Valid 2013-06-05 5020417
5020418 5020418 Quick edit Valid 2013-06-05 5020418
5020420 5020420 Quick edit Valid 2013-06-05 5020420
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?