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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 4,781 to 4,800.First236237238239240241242243Last
Id Label Status Status Modified Notation
73328 Trankovo Quick edit Valid 2013-05-30 73328
73331 Trankovtsi Quick edit Valid 2013-05-30 73331
73345 Tranchovitsa Quick edit Valid 2013-05-30 73345
73359 Trastenik Quick edit Valid 2013-05-30 73359
73362 Trastenik Quick edit Valid 2013-05-30 73362
73376 Trastika Quick edit Valid 2013-05-30 73376
73388 Trastikovo Quick edit Valid 2013-05-30 73388
73393 Trastikovo Quick edit Valid 2013-05-30 73393
73403 Tryavna Quick edit Valid 2013-05-30 73403
73417 Tuden Quick edit Valid 2013-05-30 73417
73420 Tulovo Quick edit Valid 2013-05-30 73420
73434 Tumbalovo Quick edit Valid 2013-05-30 73434
73448 Tumbevtsi Quick edit Valid 2013-05-30 73448
73451 Turia Quick edit Valid 2013-05-30 73451
73465 Turkincha Quick edit Valid 2013-05-30 73465
73479 Turokovtsi Quick edit Valid 2013-05-30 73479
73482 Turyan Quick edit Valid 2013-05-30 73482
73496 Tutrakan Quick edit Valid 2013-05-30 73496
73506 Tutrakantsi Quick edit Valid 2013-05-30 73506
73519 Tuhovishta Quick edit Valid 2013-05-30 73519
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?