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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 4,841 to 4,860.First239240241242243244245246Last
Id Label Status Status Modified Notation
583383 Měnín Quick edit Valid 2013-05-30 583383
583391 Modřice Quick edit Valid 2013-05-30 583391
583405 Mokrá-Horákov Quick edit Valid 2013-05-30 583405
583413 Moravany Quick edit Valid 2013-05-30 583413
583421 Moravské Bránice Quick edit Valid 2013-05-30 583421
583430 Moravské Knínice Quick edit Valid 2013-05-30 583430
583448 Moutnice Quick edit Valid 2013-05-30 583448
583456 Nebovidy Quick edit Valid 2013-05-30 583456
583464 Nelepeč-Žernůvka Quick edit Valid 2013-05-30 583464
583472 Němčičky Quick edit Valid 2013-05-30 583472
583481 Neslovice Quick edit Valid 2013-05-30 583481
583499 Nesvačilka Quick edit Valid 2013-05-30 583499
583502 Nová Ves Quick edit Valid 2013-05-30 583502
583511 Nové Bránice Quick edit Valid 2013-05-30 583511
583529 Odrovice Quick edit Valid 2013-05-30 583529
583537 Ochoz u Brna Quick edit Valid 2013-05-30 583537
583545 Omice Quick edit Valid 2013-05-30 583545
583553 Opatovice Quick edit Valid 2013-05-30 583553
583561 Ořechov Quick edit Valid 2013-05-30 583561
583588 Oslavany Quick edit Valid 2013-05-30 583588
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?