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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 2,961 to 2,980.First145146147148149150151152Last
Id Label Status Status Modified Notation
561924 Dehtáře Quick edit Valid 2013-05-30 561924
561932 Dobrá Voda Quick edit Valid 2013-05-30 561932
561941 Proseč pod Křemešníkem Quick edit Valid 2013-05-30 561941
561959 Polevsko Quick edit Valid 2013-05-30 561959
561967 Olešná Quick edit Valid 2013-05-30 561967
561975 Zajíčkov Quick edit Valid 2013-05-30 561975
561983 Provodín Quick edit Valid 2013-05-30 561983
561991 Prysk Quick edit Valid 2013-05-30 561991
562009 Rynárec Quick edit Valid 2013-05-30 562009
562017 Ralsko Quick edit Valid 2013-05-30 562017
562025 Skalice u České Lípy Quick edit Valid 2013-05-30 562025
562033 Útěchovice pod Stražištěm Quick edit Valid 2013-05-30 562033
562041 Lesná Quick edit Valid 2013-05-30 562041
562050 Sloup v Čechách Quick edit Valid 2013-05-30 562050
562068 Rakovice Quick edit Valid 2013-05-30 562068
562076 Sosnová Quick edit Valid 2013-05-30 562076
562084 Jickovice Quick edit Valid 2013-05-30 562084
562092 Stráž pod Ralskem Quick edit Valid 2013-05-30 562092
562106 Stružnice Quick edit Valid 2013-05-30 562106
562114 Stvolínky Quick edit Valid 2013-05-30 562114
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?