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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 33,801 to 33,820.First1,6871,6881,6891,6901,6911,6921,6931,694Last
Id Label Status Status Modified Notation
82070 Glatens Quick edit Valid 2013-05-30 82070
82071 Goas Quick edit Valid 2013-05-30 82071
82072 Golfech Quick edit Valid 2013-05-30 82072
82073 Goudourville Quick edit Valid 2013-05-30 82073
82074 Gramont Quick edit Valid 2013-05-30 82074
82075 Grisolles Quick edit Valid 2013-05-30 82075
82076 L' Honor-de-Cos Quick edit Valid 2013-05-30 82076
82077 Labarthe Quick edit Valid 2013-05-30 82077
82078 Labastide-de-Penne Quick edit Valid 2013-05-30 82078
82079 Labastide-Saint-Pierre Quick edit Valid 2013-05-30 82079
82080 Labastide-du-Temple Quick edit Valid 2013-05-30 82080
82081 Labourgade Quick edit Valid 2013-05-30 82081
82082 Lacapelle-Livron Quick edit Valid 2013-05-30 82082
82083 Lachapelle Quick edit Valid 2013-05-30 82083
82084 Lacour Quick edit Valid 2013-05-30 82084
82085 Lacourt-Saint-Pierre Quick edit Valid 2013-05-30 82085
82086 Lafitte Quick edit Valid 2013-05-30 82086
82087 Lafrançaise Quick edit Valid 2013-05-30 82087
82088 Laguépie Quick edit Valid 2013-05-30 82088
82089 Lamagistère Quick edit Valid 2013-05-30 82089
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?