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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

6,250 concepts found, displaying 4,541 to 4,560.First224225226227228229230231Last
Id Label Status Status Modified Notation
579424 Kunčice nad Labem Quick edit Valid 2013-05-30 579424
579432 Lánov Quick edit Valid 2013-05-30 579432
579441 Lanžov Quick edit Valid 2013-05-30 579441
579459 Ctiboř Quick edit Valid 2013-05-30 579459
579467 Skapce Quick edit Valid 2013-05-30 579467
579475 Libňatov Quick edit Valid 2013-05-30 579475
579483 Libotov Quick edit Valid 2013-05-30 579483
579491 Vranov Quick edit Valid 2013-05-30 579491
579505 Malá Úpa Quick edit Valid 2013-05-30 579505
579513 Malé Svatoňovice Quick edit Valid 2013-05-30 579513
579530 Maršov u Úpice Quick edit Valid 2013-05-30 579530
579548 Mladé Buky Quick edit Valid 2013-05-30 579548
579556 Mostek Quick edit Valid 2013-05-30 579556
579564 Nemojov Quick edit Valid 2013-05-30 579564
579581 Pec pod Sněžkou Quick edit Valid 2013-05-30 579581
579599 Pilníkov Quick edit Valid 2013-05-30 579599
579602 Prosečné Quick edit Valid 2013-05-30 579602
579629 Radvanice Quick edit Valid 2013-05-30 579629
579637 Rtyně v Podkrkonoší Quick edit Valid 2013-05-30 579637
579645 Rudník Quick edit Valid 2013-05-30 579645
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?