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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 1,401 to 1,420.First6768697071727374Last
Id Label Status Status Modified Notation
ES416 Segovia Quick edit Valid 2013-09-25 ES416
ES417 Soria Quick edit Valid 2013-09-25 ES417
ES418 Valladolid Quick edit Valid 2013-09-25 ES418
ES419 Zamora Quick edit Valid 2013-09-25 ES419
ES42 Castilla-la Mancha Quick edit Valid 2013-09-25 ES42
ES421 Albacete Quick edit Valid 2013-09-25 ES421
ES422 Ciudad Real Quick edit Valid 2013-09-25 ES422
ES423 Cuenca Quick edit Valid 2013-09-25 ES423
ES424 Guadalajara Quick edit Valid 2013-09-25 ES424
ES425 Toledo Quick edit Valid 2013-09-25 ES425
ES43 Extremadura Quick edit Valid 2013-09-25 ES43
ES431 Badajoz Quick edit Valid 2013-09-25 ES431
ES432 Cáceres Quick edit Valid 2013-09-25 ES432
ES5 Este (ES) Quick edit Valid 2013-09-25 ES5
ES51 Cataluña Quick edit Valid 2013-09-25 ES51
ES511 Barcelona Quick edit Valid 2013-09-25 ES511
ES512 Girona Quick edit Valid 2013-09-25 ES512
ES512_513 Girona, Lleida Quick edit Valid 2013-09-25 ES512_513
ES513 Lleida Quick edit Valid 2013-09-25 ES513
ES514 Tarragona Quick edit Valid 2013-09-25 ES514
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?