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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 33,261 to 33,280.First1,6601,6611,6621,6631,6641,6651,6661,667Last
Id Label Status Status Modified Notation
80675 Rogy Quick edit Valid 2013-05-30 80675
80676 Roiglise Quick edit Valid 2013-05-30 80676
80677 Roisel Quick edit Valid 2013-05-30 80677
80678 Rollot Quick edit Valid 2013-05-30 80678
80679 Ronssoy Quick edit Valid 2013-05-30 80679
80680 Rosières-en-Santerre Quick edit Valid 2013-05-30 80680
80681 Rouvrel Quick edit Valid 2013-05-30 80681
80682 Rouvroy-en-Santerre Quick edit Valid 2013-05-30 80682
80683 Rouy-le-Grand Quick edit Valid 2013-05-30 80683
80684 Rouy-le-Petit Quick edit Valid 2013-05-30 80684
80685 Roye Quick edit Valid 2013-05-30 80685
80686 Rubempré Quick edit Valid 2013-05-30 80686
80687 Rubescourt Quick edit Valid 2013-05-30 80687
80688 Rue Quick edit Valid 2013-05-30 80688
80690 Rumigny Quick edit Valid 2013-05-30 80690
80691 Saigneville Quick edit Valid 2013-05-30 80691
80692 Sailly-Flibeaucourt Quick edit Valid 2013-05-30 80692
80693 Sailly-Laurette Quick edit Valid 2013-05-30 80693
80694 Sailly-le-Sec Quick edit Valid 2013-05-30 80694
80695 Sailly-Saillisel Quick edit Valid 2013-05-30 80695
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?