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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
1143006 1143006 Quick edit Valid 2013-06-05 1143006
1143018 1143018 Quick edit Valid 2013-06-05 1143018
1143021 1143021 Quick edit Valid 2013-06-05 1143021
1143028 1143028 Quick edit Valid 2013-06-05 1143028
1143032 1143032 Quick edit Valid 2013-06-05 1143032
1143038 1143038 Quick edit Valid 2013-06-05 1143038
2122001 2122001 Quick edit Valid 2013-06-05 2122001
2122006 2122006 Quick edit Valid 2013-06-05 2122006
2122008 2122008 Quick edit Valid 2013-06-05 2122008
2122009 2122009 Quick edit Valid 2013-06-05 2122009
2122014 2122014 Quick edit Valid 2013-06-05 2122014
2122019 2122019 Quick edit Valid 2013-06-05 2122019
2122161 2122161 Quick edit Valid 2013-06-05 2122161
2122205 2122205 Quick edit Valid 2013-06-05 2122205
2122207 2122207 Quick edit Valid 2013-06-05 2122207
2122210 2122210 Quick edit Valid 2013-06-05 2122210
2122211 2122211 Quick edit Valid 2013-06-05 2122211
2122217 2122217 Quick edit Valid 2013-06-05 2122217
2122262 2122262 Quick edit Valid 2013-06-05 2122262
2122303 2122303 Quick edit Valid 2013-06-05 2122303
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?