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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 1,381 to 1,400.First6667686970717273Last
Id Label Status Status Modified Notation
ES22 Comunidad Foral de Navarra Quick edit Valid 2013-09-25 ES22
ES220 Navarra Quick edit Valid 2013-09-25 ES220
ES23 La Rioja Quick edit Valid 2013-09-25 ES23
ES230 La Rioja Quick edit Valid 2013-09-25 ES230
ES24 Aragón Quick edit Valid 2013-09-25 ES24
ES241 Huesca Quick edit Valid 2013-09-25 ES241
ES241_242 Huesca, Teruel Quick edit Valid 2013-09-25 ES241_242
ES242 Teruel Quick edit Valid 2013-09-25 ES242
ES243 Zaragoza Quick edit Valid 2013-09-25 ES243
ES3 Comunidad de Madrid Quick edit Valid 2013-09-25 ES3
ES30 Comunidad de Madrid Quick edit Valid 2013-09-25 ES30
ES300 Madrid Quick edit Valid 2013-09-25 ES300
ES4 Centro (ES) Quick edit Valid 2013-09-25 ES4
ES41 Castilla y León Quick edit Valid 2013-09-25 ES41
ES411 Ávila Quick edit Valid 2013-09-25 ES411
ES411_414-417 Ávila, Palencia, Salamanca, Segovia, Soria Quick edit Valid 2013-09-25 ES411_414-417
ES412 Burgos Quick edit Valid 2013-09-25 ES412
ES413 León Quick edit Valid 2013-09-25 ES413
ES414 Palencia Quick edit Valid 2013-09-25 ES414
ES415 Salamanca Quick edit Valid 2013-09-25 ES415
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?