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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

2,122 concepts found, displaying 561 to 580.First2526272829303132Last
Id Label Status Status Modified Notation
7599 Døllefjelde Quick edit Valid 2013-05-30 7599
7600 Musse Quick edit Valid 2013-05-30 7600
7601 Herritslev Quick edit Valid 2013-05-30 7601
7602 Øster Ulslev Quick edit Valid 2013-05-30 7602
7603 Vester Ulslev Quick edit Valid 2013-05-30 7603
7604 Godsted Quick edit Valid 2013-05-30 7604
7605 Kettinge Quick edit Valid 2013-05-30 7605
7606 Bregninge Quick edit Valid 2013-05-30 7606
7607 Stubbekøbing Quick edit Valid 2013-05-30 7607
7608 Maglebrænde Quick edit Valid 2013-05-30 7608
7609 Torkilstrup Quick edit Valid 2013-05-30 7609
7610 Lillebrænde Quick edit Valid 2013-05-30 7610
7611 Gundslev Quick edit Valid 2013-05-30 7611
7612 Nørre Vedby Quick edit Valid 2013-05-30 7612
7613 Nørre Alslev Quick edit Valid 2013-05-30 7613
7614 Nørre Kirkeby Quick edit Valid 2013-05-30 7614
7615 Vålse Quick edit Valid 2013-05-30 7615
7616 Kippinge Quick edit Valid 2013-05-30 7616
7617 Stadager Quick edit Valid 2013-05-30 7617
7618 Brarup Quick edit Valid 2013-05-30 7618
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?