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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 5,281 to 5,300.First259260261262263264265266Last
Id Label Status Status Modified Notation
87518 Yarebichna Quick edit Valid 2013-05-30 87518
87521 Yarebichno Quick edit Valid 2013-05-30 87521
87535 Yarebkovitsa Quick edit Valid 2013-05-30 87535
87549 Yarlovitsa Quick edit Valid 2013-05-30 87549
87552 Yarlovo Quick edit Valid 2013-05-30 87552
87566 Yarlovtsi Quick edit Valid 2013-05-30 87566
87579 Yaroslavtsi Quick edit Valid 2013-05-30 87579
87583 Yasen Quick edit Valid 2013-05-30 87583
87597 Yasen Quick edit Valid 2013-05-30 87597
87607 Yasenite Quick edit Valid 2013-05-30 87607
87610 Yasenkovo Quick edit Valid 2013-05-30 87610
87624 Yasenovets Quick edit Valid 2013-05-30 87624
87638 Yasenovo Quick edit Valid 2013-05-30 87638
87641 Yasenovo Quick edit Valid 2013-05-30 87641
87655 Yasna polyana Quick edit Valid 2013-05-30 87655
87669 Yasno pole Quick edit Valid 2013-05-30 87669
87672 Yastreb Quick edit Valid 2013-05-30 87672
87686 Yastrebino Quick edit Valid 2013-05-30 87686
87694 Yastrebna Quick edit Valid 2013-05-30 87694
87700 Yastrebovo Quick edit Valid 2013-05-30 87700
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?