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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 1,581 to 1,600.First7677787980818283Last
Id Label Status Status Modified Notation
22767 Panicherevo Quick edit Valid 2013-05-30 22767
22770 Dolno pole Quick edit Valid 2013-05-30 22770
22784 Dolno Prahovo Quick edit Valid 2013-05-30 22784
22798 Dolno Ryahovo Quick edit Valid 2013-05-30 22798
22808 Dolno Sahrane Quick edit Valid 2013-05-30 22808
22811 Dolno selo Quick edit Valid 2013-05-30 22811
22825 Dolnoseltsi Quick edit Valid 2013-05-30 22825
22839 Dolnoslav Quick edit Valid 2013-05-30 22839
22842 Dolno Spanchevo Quick edit Valid 2013-05-30 22842
22856 Dolno Sadievo Quick edit Valid 2013-05-30 22856
22862 Dolno Uyno Quick edit Valid 2013-05-30 22862
22873 Dolno Tserovene Quick edit Valid 2013-05-30 22873
22887 Dolno Cherkovishte Quick edit Valid 2013-05-30 22887
22890 Dolno Shivachevo Quick edit Valid 2013-05-30 22890
22914 Dolno Yabalkovo Quick edit Valid 2013-05-30 22914
22928 Domishte Quick edit Valid 2013-05-30 22928
22931 Domlyan Quick edit Valid 2013-05-30 22931
22945 Dondukovo Quick edit Valid 2013-05-30 22945
22959 Donino Quick edit Valid 2013-05-30 22959
22962 Donkino Quick edit Valid 2013-05-30 22962
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?