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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 601 to 620.First2728293031323334Last
Id Label Status Status Modified Notation
7639 Stokkemarke Quick edit Valid 2013-05-30 7639
7640 Vesterborg Quick edit Valid 2013-05-30 7640
7641 Birket Quick edit Valid 2013-05-30 7641
7642 Sakskøbing Quick edit Valid 2013-05-30 7642
7643 Nysted Quick edit Valid 2013-05-30 7643
7644 Våbensted Quick edit Valid 2013-05-30 7644
7645 Engestofte Quick edit Valid 2013-05-30 7645
7646 Hunseby Quick edit Valid 2013-05-30 7646
7647 Vantore Quick edit Valid 2013-05-30 7647
7648 Maribo (Domsogn) Quick edit Valid 2013-05-30 7648
7649 Hillested Quick edit Valid 2013-05-30 7649
7650 Skørringe Quick edit Valid 2013-05-30 7650
7651 Rødby Quick edit Valid 2013-05-30 7651
7652 Ringsebølle Quick edit Valid 2013-05-30 7652
7653 Tågerup Quick edit Valid 2013-05-30 7653
7654 Torslunde Quick edit Valid 2013-05-30 7654
7655 Errindlev Quick edit Valid 2013-05-30 7655
7656 Olstrup Quick edit Valid 2013-05-30 7656
7657 Fuglse Quick edit Valid 2013-05-30 7657
7658 Krønge Quick edit Valid 2013-05-30 7658
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?