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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

77 concepts found, displaying 21 to 40.First1234Last
Id Label Status Status Modified Notation
CZ0321 CZ0321 Quick edit Valid 2013-06-05 CZ0321
CZ0322 CZ0322 Quick edit Valid 2013-06-05 CZ0322
CZ0323 CZ0323 Quick edit Valid 2013-06-05 CZ0323
CZ0324 CZ0324 Quick edit Valid 2013-06-05 CZ0324
CZ0325 CZ0325 Quick edit Valid 2013-06-05 CZ0325
CZ0326 CZ0326 Quick edit Valid 2013-06-05 CZ0326
CZ0327 CZ0327 Quick edit Valid 2013-06-05 CZ0327
CZ0411 CZ0411 Quick edit Valid 2013-06-05 CZ0411
CZ0412 CZ0412 Quick edit Valid 2013-06-05 CZ0412
CZ0413 CZ0413 Quick edit Valid 2013-06-05 CZ0413
CZ0421 CZ0421 Quick edit Valid 2013-06-05 CZ0421
CZ0422 CZ0422 Quick edit Valid 2013-06-05 CZ0422
CZ0423 CZ0423 Quick edit Valid 2013-06-05 CZ0423
CZ0424 CZ0424 Quick edit Valid 2013-06-05 CZ0424
CZ0425 CZ0425 Quick edit Valid 2013-06-05 CZ0425
CZ0426 CZ0426 Quick edit Valid 2013-06-05 CZ0426
CZ0427 CZ0427 Quick edit Valid 2013-06-05 CZ0427
CZ0511 CZ0511 Quick edit Valid 2013-06-05 CZ0511
CZ0512 CZ0512 Quick edit Valid 2013-06-05 CZ0512
CZ0513 CZ0513 Quick edit Valid 2013-06-05 CZ0513
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?