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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 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
7296 Kundby Quick edit Valid 2013-05-30 7296
7297 Hjembæk Quick edit Valid 2013-05-30 7297
7298 Svinninge Quick edit Valid 2013-05-30 7298
7299 Jyderup Quick edit Valid 2013-05-30 7299
7300 Holmstrup Quick edit Valid 2013-05-30 7300
7301 Stigs Bjergby Quick edit Valid 2013-05-30 7301
7302 Mørkøv Quick edit Valid 2013-05-30 7302
7303 Skamstrup Quick edit Valid 2013-05-30 7303
7304 Karrebæk Quick edit Valid 2013-05-30 7304
7305 Fodby Quick edit Valid 2013-05-30 7305
7306 Herlufsholm Quick edit Valid 2013-05-30 7306
7307 Gunderslev Quick edit Valid 2013-05-30 7307
7308 Skælskør Quick edit Valid 2013-05-30 7308
7309 Eggeslevmagle Quick edit Valid 2013-05-30 7309
7310 Høve Quick edit Valid 2013-05-30 7310
7311 Flakkebjerg Quick edit Valid 2013-05-30 7311
7312 Skørpinge Quick edit Valid 2013-05-30 7312
7313 Fårdrup Quick edit Valid 2013-05-30 7313
7314 Sørbymagle Quick edit Valid 2013-05-30 7314
7315 Kirkerup Quick edit Valid 2013-05-30 7315
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?