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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 4,041 to 4,060.First199200201202203204205206Last
Id Label Status Status Modified Notation
573469 Slatiny Quick edit Valid 2013-05-30 573469
573477 Sobčice Quick edit Valid 2013-05-30 573477
573485 Lesůňky Quick edit Valid 2013-05-30 573485
573493 Sobotka Quick edit Valid 2013-05-30 573493
573507 Stará Paka Quick edit Valid 2013-05-30 573507
573515 Kunětice Quick edit Valid 2013-05-30 573515
573523 Staré Smrkovice Quick edit Valid 2013-05-30 573523
573531 Puchlovice Quick edit Valid 2013-05-30 573531
573540 Střevač Quick edit Valid 2013-05-30 573540
573558 Boňkov Quick edit Valid 2013-05-30 573558
573566 Bělá Quick edit Valid 2013-05-30 573566
573574 Chřenovice Quick edit Valid 2013-05-30 573574
573582 Víska Quick edit Valid 2013-05-30 573582
573591 Pohleď Quick edit Valid 2013-05-30 573591
573604 Služátky Quick edit Valid 2013-05-30 573604
573612 Třebnouševes Quick edit Valid 2013-05-30 573612
573621 Hvozdnice Quick edit Valid 2013-05-30 573621
573639 Třtěnice Quick edit Valid 2013-05-30 573639
573647 Tuř Quick edit Valid 2013-05-30 573647
573655 Úbislavice Quick edit Valid 2013-05-30 573655
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?