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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 721 to 740.First3334353637383940Last
Id Label Status Status Modified Notation
02309 Festieux Quick edit Valid 2013-05-30 02309
02310 Fieulaine Quick edit Valid 2013-05-30 02310
02311 Filain Quick edit Valid 2013-05-30 02311
02312 La Flamengrie Quick edit Valid 2013-05-30 02312
02313 Flavigny-le-Grand-et-Beaurain Quick edit Valid 2013-05-30 02313
02315 Flavy-le-Martel Quick edit Valid 2013-05-30 02315
02316 Fleury Quick edit Valid 2013-05-30 02316
02317 Fluquières Quick edit Valid 2013-05-30 02317
02318 Folembray Quick edit Valid 2013-05-30 02318
02319 Fonsommes Quick edit Valid 2013-05-30 02319
02320 Fontaine-lès-Clercs Quick edit Valid 2013-05-30 02320
02321 Fontaine-lès-Vervins Quick edit Valid 2013-05-30 02321
02322 Fontaine-Notre-Dame Quick edit Valid 2013-05-30 02322
02323 Fontaine-Uterte Quick edit Valid 2013-05-30 02323
02324 Fontenelle Quick edit Valid 2013-05-30 02324
02325 Fontenelle-en-Brie Quick edit Valid 2013-05-30 02325
02326 Fontenoy Quick edit Valid 2013-05-30 02326
02327 Foreste Quick edit Valid 2013-05-30 02327
02328 Fossoy Quick edit Valid 2013-05-30 02328
02329 Fourdrain Quick edit Valid 2013-05-30 02329
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?