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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:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 5,141 to 5,160.First254255256257258259260261Last
Id Label Status Status Modified Notation
81619 Chudomir Quick edit Valid 2013-05-30 81619
81623 Chuypetlovo Quick edit Valid 2013-05-30 81623
81637 Todorcheta Quick edit Valid 2013-05-30 81637
81640 Chukarka Quick edit Valid 2013-05-30 81640
81654 Chukarovo Quick edit Valid 2013-05-30 81654
81668 Chukata Quick edit Valid 2013-05-30 81668
81671 Chukata Quick edit Valid 2013-05-30 81671
81685 Chukilite Quick edit Valid 2013-05-30 81685
81699 Chukovezer Quick edit Valid 2013-05-30 81699
81709 Chukovets Quick edit Valid 2013-05-30 81709
81712 Chukovets Quick edit Valid 2013-05-30 81712
81726 Chukovo Quick edit Valid 2013-05-30 81726
81734 Chukovo Quick edit Valid 2013-05-30 81734
81743 Strazhets Quick edit Valid 2013-05-30 81743
81757 Chuprene Quick edit Valid 2013-05-30 81757
81760 Churek Quick edit Valid 2013-05-30 81760
81774 Churen Quick edit Valid 2013-05-30 81774
81788 Churilovo Quick edit Valid 2013-05-30 81788
81791 Churicheni Quick edit Valid 2013-05-30 81791
81801 Churka Quick edit Valid 2013-05-30 81801
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?