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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 1,701 to 1,720.First8283848586878889Last
Id Label Status Status Modified Notation
545473 Dolní Třebonín Quick edit Valid 2013-05-30 545473
545481 Frymburk Quick edit Valid 2013-05-30 545481
545490 Holubov Quick edit Valid 2013-05-30 545490
545503 Horní Dvořiště Quick edit Valid 2013-05-30 545503
545511 Horní Planá Quick edit Valid 2013-05-30 545511
545520 Hořice na Šumavě Quick edit Valid 2013-05-30 545520
545538 Starý Šachov Quick edit Valid 2013-05-30 545538
545546 Chvalšiny Quick edit Valid 2013-05-30 545546
545554 Kájov Quick edit Valid 2013-05-30 545554
545562 Kaplice Quick edit Valid 2013-05-30 545562
545571 Křemže Quick edit Valid 2013-05-30 545571
545597 Lipno nad Vltavou Quick edit Valid 2013-05-30 545597
545601 Loučovice Quick edit Valid 2013-05-30 545601
545619 Malonty Quick edit Valid 2013-05-30 545619
545627 Mirkovice Quick edit Valid 2013-05-30 545627
545643 Netřebice Quick edit Valid 2013-05-30 545643
545660 Omlenice Quick edit Valid 2013-05-30 545660
545678 Markvartice Quick edit Valid 2013-05-30 545678
545694 Pohorská Ves Quick edit Valid 2013-05-30 545694
545708 Lobendava Quick edit Valid 2013-05-30 545708
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?