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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 4,761 to 4,780.First235236237238239240241242Last
Id Label Status Status Modified Notation
73105 Trigrad Quick edit Valid 2013-05-30 73105
73119 Tri kladentsi Quick edit Valid 2013-05-30 73119
73122 Trilistnik Quick edit Valid 2013-05-30 73122
73136 Tri mogili Quick edit Valid 2013-05-30 73136
73147 Tri mogili Quick edit Valid 2013-05-30 73147
73167 Trifonovo Quick edit Valid 2013-05-30 73167
73170 Troitsa Quick edit Valid 2013-05-30 73170
73184 Troskovo Quick edit Valid 2013-05-30 73184
73198 Troyan Quick edit Valid 2013-05-30 73198
73208 Troyan Quick edit Valid 2013-05-30 73208
73211 Troyanovo Quick edit Valid 2013-05-30 73211
73225 Troyanovo Quick edit Valid 2013-05-30 73225
73242 Trud Quick edit Valid 2013-05-30 73242
73256 Trudovets Quick edit Valid 2013-05-30 73256
73262 Trabach Quick edit Valid 2013-05-30 73262
73273 Tran Quick edit Valid 2013-05-30 73273
73287 Tranak Quick edit Valid 2013-05-30 73287
73290 Tranito Quick edit Valid 2013-05-30 73290
73300 Tranitsa Quick edit Valid 2013-05-30 73300
73314 Trankovo Quick edit Valid 2013-05-30 73314
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?