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

379 concepts found, displaying 121 to 140.First345678910Last
Id Label Status Status Modified Notation
2245108 2245108 Quick edit Valid 2013-06-05 2245108
2245110 2245110 Quick edit Valid 2013-06-05 2245110
2245114 2245114 Quick edit Valid 2013-06-05 2245114
2245177 2245177 Quick edit Valid 2013-06-05 2245177
3060901 3060901 Quick edit Valid 2013-06-05 3060901
3060913 3060913 Quick edit Valid 2013-06-05 3060913
3060915 3060915 Quick edit Valid 2013-06-05 3060915
3060919 3060919 Quick edit Valid 2013-06-05 3060919
3060961 3060961 Quick edit Valid 2013-06-05 3060961
3061002 3061002 Quick edit Valid 2013-06-05 3061002
3061003 3061003 Quick edit Valid 2013-06-05 3061003
3061004 3061004 Quick edit Valid 2013-06-05 3061004
3061006 3061006 Quick edit Valid 2013-06-05 3061006
3061018 3061018 Quick edit Valid 2013-06-05 3061018
3061020 3061020 Quick edit Valid 2013-06-05 3061020
3061062 3061062 Quick edit Valid 2013-06-05 3061062
3061064 3061064 Quick edit Valid 2013-06-05 3061064
3061108 3061108 Quick edit Valid 2013-06-05 3061108
3061109 3061109 Quick edit Valid 2013-06-05 3061109
3061110 3061110 Quick edit Valid 2013-06-05 3061110
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?