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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

36,682 concepts found, displaying 36,041 to 36,060.First1,7991,8001,8011,8021,8031,8041,8051,806Last
Id Label Status Status Modified Notation
90079 Petitmagny Quick edit Valid 2013-05-30 90079
90080 Phaffans Quick edit Valid 2013-05-30 90080
90081 Réchésy Quick edit Valid 2013-05-30 90081
90082 Autrechêne Quick edit Valid 2013-05-30 90082
90083 Recouvrance Quick edit Valid 2013-05-30 90083
90084 Reppe Quick edit Valid 2013-05-30 90084
90085 Riervescemont Quick edit Valid 2013-05-30 90085
90086 Romagny-sous-Rougemont Quick edit Valid 2013-05-30 90086
90087 Roppe Quick edit Valid 2013-05-30 90087
90088 Rougegoutte Quick edit Valid 2013-05-30 90088
90089 Rougemont-le-Château Quick edit Valid 2013-05-30 90089
90090 Saint-Dizier-l'Évêque Quick edit Valid 2013-05-30 90090
90091 Saint-Germain-le-Châtelet Quick edit Valid 2013-05-30 90091
90093 Sermamagny Quick edit Valid 2013-05-30 90093
90094 Sevenans Quick edit Valid 2013-05-30 90094
90095 Suarce Quick edit Valid 2013-05-30 90095
90096 Thiancourt Quick edit Valid 2013-05-30 90096
90097 Trévenans Quick edit Valid 2013-05-30 90097
90098 Urcerey Quick edit Valid 2013-05-30 90098
90099 Valdoie Quick edit Valid 2013-05-30 90099
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?