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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 2,901 to 2,920.First142143144145146147148149Last
Id Label Status Status Modified Notation
561321 Chyšná Quick edit Valid 2013-05-30 561321
561339 Chýstovice Quick edit Valid 2013-05-30 561339
561347 Martinice u Onšova Quick edit Valid 2013-05-30 561347
561355 Těchobuz Quick edit Valid 2013-05-30 561355
561363 Zhořec Quick edit Valid 2013-05-30 561363
561371 Krasíkovice Quick edit Valid 2013-05-30 561371
561380 Česká Lípa Quick edit Valid 2013-05-30 561380
561398 Bezděz Quick edit Valid 2013-05-30 561398
561401 Blatce Quick edit Valid 2013-05-30 561401
561410 Blíževedly Quick edit Valid 2013-05-30 561410
561428 Bohatice Quick edit Valid 2013-05-30 561428
561436 Polesí Quick edit Valid 2013-05-30 561436
561444 Brniště Quick edit Valid 2013-05-30 561444
561452 Stojčín Quick edit Valid 2013-05-30 561452
561461 Jankov Quick edit Valid 2013-05-30 561461
561479 Cvikov Quick edit Valid 2013-05-30 561479
561487 Střítež pod Křemešníkem Quick edit Valid 2013-05-30 561487
561495 Doksy Quick edit Valid 2013-05-30 561495
561509 Probulov Quick edit Valid 2013-05-30 561509
561517 Přeborov Quick edit Valid 2013-05-30 561517
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?